Upload dataset files (batch 45/552)
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- .gitattributes +293 -0
- train/FloorPlan3/0/0.json +959 -0
- train/FloorPlan3/0/0_depth_npy.npy +3 -0
- train/FloorPlan3/0/0_semantic_sensor_npy.npy +3 -0
- train/FloorPlan3/0/1.json +2188 -0
- train/FloorPlan3/0/1_depth_npy.npy +3 -0
- train/FloorPlan3/0/1_semantic_sensor_npy.npy +3 -0
- train/FloorPlan3/0/depth_0.png +0 -0
- train/FloorPlan3/0/depth_1.png +0 -0
- train/FloorPlan3/0/mask_questions.jsonl +1 -0
- train/FloorPlan3/0/questions_distance.jsonl +2 -0
- train/FloorPlan3/0/rgb_0.png +3 -0
- train/FloorPlan3/0/rgb_0_mask_Fridge|+01.01|+00.23|+01.92.png +3 -0
- train/FloorPlan3/0/rgb_1.png +3 -0
- train/FloorPlan3/0/semantic_0.png +0 -0
- train/FloorPlan3/0/semantic_1.png +0 -0
- train/FloorPlan3/1/0.json +0 -0
- train/FloorPlan3/1/0_depth_npy.npy +3 -0
- train/FloorPlan3/1/0_semantic_sensor_npy.npy +3 -0
- train/FloorPlan3/1/1.json +0 -0
- train/FloorPlan3/1/1_depth_npy.npy +3 -0
- train/FloorPlan3/1/1_semantic_sensor_npy.npy +3 -0
- train/FloorPlan3/1/depth_0.png +0 -0
- train/FloorPlan3/1/depth_1.png +0 -0
- train/FloorPlan3/1/mask_questions.jsonl +5 -0
- train/FloorPlan3/1/questions_distance.jsonl +2 -0
- train/FloorPlan3/1/rgb_0.png +3 -0
- train/FloorPlan3/1/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png +3 -0
- train/FloorPlan3/1/rgb_0_mask_Pot|-01.58|+01.31|-01.58.png +3 -0
- train/FloorPlan3/1/rgb_1.png +3 -0
- train/FloorPlan3/1/rgb_1_mask_Drawer|-01.61|+00.68|-00.43.png +3 -0
- train/FloorPlan3/1/rgb_1_mask_Faucet|-02.13|+01.32|-00.81.png +3 -0
- train/FloorPlan3/1/rgb_1_mask_Pot|-01.58|+01.31|-01.58.png +3 -0
- train/FloorPlan3/1/semantic_0.png +0 -0
- train/FloorPlan3/1/semantic_1.png +0 -0
- train/FloorPlan3/10/0.json +0 -0
- train/FloorPlan3/10/0_depth_npy.npy +3 -0
- train/FloorPlan3/10/0_semantic_sensor_npy.npy +3 -0
- train/FloorPlan3/10/1.json +0 -0
- train/FloorPlan3/10/1_depth_npy.npy +3 -0
- train/FloorPlan3/10/1_semantic_sensor_npy.npy +3 -0
- train/FloorPlan3/10/depth_0.png +0 -0
- train/FloorPlan3/10/depth_1.png +0 -0
- train/FloorPlan3/10/mask_questions.jsonl +7 -0
- train/FloorPlan3/10/questions_distance.jsonl +4 -0
- train/FloorPlan3/10/rgb_0.png +3 -0
- train/FloorPlan3/10/rgb_0_mask_Drawer|-01.61|+00.68|-00.43.png +3 -0
- train/FloorPlan3/10/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png +3 -0
- train/FloorPlan3/10/rgb_0_mask_SoapBottle|-01.79|+01.31|-00.10.png +3 -0
- train/FloorPlan3/10/rgb_1.png +3 -0
.gitattributes
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@@ -11488,3 +11488,296 @@ train/FloorPlan3/17/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_0_mask_Cabinet|-01.46|+00.78|-02.00.png filter=lfs diff=lfs merge=lfs -text
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| 11488 |
train/FloorPlan3/17/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_0_mask_Cabinet|-01.46|+00.78|-02.00.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_0_mask_Drawer|-01.61|+00.68|-00.43.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/17/rgb_1_mask_Cabinet|-01.46|+00.78|-02.00.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/rgb_0_mask_Bowl|-01.82|+01.31|+00.27.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/rgb_1_mask_HousePlant|-02.03|+01.31|-00.03.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/rgb_1_mask_Bowl|-01.82|+01.31|+00.27.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/46/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_1_mask_Pot|-01.58|+01.31|-01.58.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_0_mask_Pot|-01.58|+01.31|-01.58.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_0_mask_Toaster|-01.89|+01.31|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_0_mask_Cabinet|-01.46|+00.78|-02.00.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_1_mask_Toaster|-01.89|+01.31|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/41/rgb_1_mask_Cabinet|-01.46|+00.78|-02.00.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_0_mask_Window|-02.57|+01.80|-00.82.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_1_mask_Sink|-01.99|+01.14|-00.98.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_1_mask_Drawer|-01.61|+00.68|-00.43.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_0_mask_Plate|-01.47|+01.31|+00.24.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_0_mask_Bread|-01.51|+01.38|+00.66.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_0_mask_Drawer|-01.61|+00.68|-00.43.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/3/rgb_1_mask_Window|-02.57|+01.80|-00.82.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_1_mask_Pot|-01.58|+01.31|-01.58.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_1_mask_Drawer|-01.61|+00.68|-01.22.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_0_mask_Pot|-01.58|+01.31|-01.58.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_0_mask_Drawer|-01.61|+00.68|-01.22.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/29/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_1_mask_Faucet|-02.13|+01.32|-00.81.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_0_mask_Cabinet|-01.46|+00.78|+00.47.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_1_mask_Drawer|-01.61|+00.68|-00.43.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_1_mask_Cabinet|-01.46|+00.78|+00.47.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/39/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_0_mask_Drawer|+00.65|+00.85|+00.68.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_0_mask_Drawer|+00.65|+01.07|+01.02.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_1_mask_Fridge|+01.01|+00.23|+01.92.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_0_mask_Drawer|+00.65|+01.07|+00.68.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/30/rgb_0_mask_CounterTop|-01.81|+01.36|+01.18.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/31/rgb_0_mask_Cabinet|+00.58|+00.78|-02.05.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/31/rgb_1_mask_Microwave|+00.99|+01.31|-02.16.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan3/31/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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| 11717 |
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train/FloorPlan3/18/rgb_1_mask_Cabinet|-01.46|+00.78|-02.00.png filter=lfs diff=lfs merge=lfs -text
|
| 11718 |
+
train/FloorPlan3/8/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11719 |
+
train/FloorPlan3/8/rgb_1_mask_Bread|-01.51|+01.38|+00.66.png filter=lfs diff=lfs merge=lfs -text
|
| 11720 |
+
train/FloorPlan3/8/rgb_0_mask_Bowl|-01.82|+01.31|+00.27.png filter=lfs diff=lfs merge=lfs -text
|
| 11721 |
+
train/FloorPlan3/8/rgb_0_mask_Window|-02.57|+01.80|-00.82.png filter=lfs diff=lfs merge=lfs -text
|
| 11722 |
+
train/FloorPlan3/8/rgb_1.png filter=lfs diff=lfs merge=lfs -text
|
| 11723 |
+
train/FloorPlan3/8/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11724 |
+
train/FloorPlan3/8/rgb_0_mask_Cabinet|-01.46|+00.78|+00.47.png filter=lfs diff=lfs merge=lfs -text
|
| 11725 |
+
train/FloorPlan3/8/rgb_1_mask_HousePlant|-02.03|+01.31|-00.03.png filter=lfs diff=lfs merge=lfs -text
|
| 11726 |
+
train/FloorPlan3/8/rgb_0_mask_Plate|-01.47|+01.31|+00.24.png filter=lfs diff=lfs merge=lfs -text
|
| 11727 |
+
train/FloorPlan3/8/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11728 |
+
train/FloorPlan3/8/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11729 |
+
train/FloorPlan3/8/rgb_0.png filter=lfs diff=lfs merge=lfs -text
|
| 11730 |
+
train/FloorPlan3/8/rgb_0_mask_Bread|-01.51|+01.38|+00.66.png filter=lfs diff=lfs merge=lfs -text
|
| 11731 |
+
train/FloorPlan3/8/rgb_1_mask_Cabinet|-01.46|+00.78|+00.47.png filter=lfs diff=lfs merge=lfs -text
|
| 11732 |
+
train/FloorPlan3/8/rgb_1_mask_Plate|-01.47|+01.31|+00.24.png filter=lfs diff=lfs merge=lfs -text
|
| 11733 |
+
train/FloorPlan3/43/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11734 |
+
train/FloorPlan3/43/rgb_0_mask_WineBottle|+00.96|+01.31|-01.01.png filter=lfs diff=lfs merge=lfs -text
|
| 11735 |
+
train/FloorPlan3/43/rgb_1_mask_WineBottle|+00.96|+01.31|-01.01.png filter=lfs diff=lfs merge=lfs -text
|
| 11736 |
+
train/FloorPlan3/43/rgb_1.png filter=lfs diff=lfs merge=lfs -text
|
| 11737 |
+
train/FloorPlan3/43/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11738 |
+
train/FloorPlan3/43/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11739 |
+
train/FloorPlan3/43/rgb_1_mask_CoffeeMachine|+01.13|+01.31|-01.43.png filter=lfs diff=lfs merge=lfs -text
|
| 11740 |
+
train/FloorPlan3/43/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11741 |
+
train/FloorPlan3/43/rgb_0.png filter=lfs diff=lfs merge=lfs -text
|
| 11742 |
+
train/FloorPlan3/43/rgb_0_mask_CoffeeMachine|+01.13|+01.31|-01.43.png filter=lfs diff=lfs merge=lfs -text
|
| 11743 |
+
train/FloorPlan3/40/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11744 |
+
train/FloorPlan3/40/rgb_1.png filter=lfs diff=lfs merge=lfs -text
|
| 11745 |
+
train/FloorPlan3/40/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11746 |
+
train/FloorPlan3/40/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11747 |
+
train/FloorPlan3/40/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11748 |
+
train/FloorPlan3/40/rgb_0.png filter=lfs diff=lfs merge=lfs -text
|
| 11749 |
+
train/FloorPlan3/40/rgb_1_mask_Window|-02.57|+01.80|-00.82.png filter=lfs diff=lfs merge=lfs -text
|
| 11750 |
+
train/FloorPlan3/24/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11751 |
+
train/FloorPlan3/24/rgb_1.png filter=lfs diff=lfs merge=lfs -text
|
| 11752 |
+
train/FloorPlan3/24/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11753 |
+
train/FloorPlan3/24/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11754 |
+
train/FloorPlan3/24/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11755 |
+
train/FloorPlan3/24/rgb_0.png filter=lfs diff=lfs merge=lfs -text
|
| 11756 |
+
train/FloorPlan3/24/rgb_1_mask_Drawer|+00.65|+00.60|+00.68.png filter=lfs diff=lfs merge=lfs -text
|
| 11757 |
+
train/FloorPlan3/24/rgb_0_mask_Cabinet|-01.46|+00.78|+01.31.png filter=lfs diff=lfs merge=lfs -text
|
| 11758 |
+
train/FloorPlan3/24/rgb_1_mask_Cabinet|-01.46|+00.78|+01.31.png filter=lfs diff=lfs merge=lfs -text
|
| 11759 |
+
train/FloorPlan3/47/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11760 |
+
train/FloorPlan3/47/rgb_1.png filter=lfs diff=lfs merge=lfs -text
|
| 11761 |
+
train/FloorPlan3/47/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11762 |
+
train/FloorPlan3/47/rgb_0_mask_Toaster|-01.89|+01.31|-02.51.png filter=lfs diff=lfs merge=lfs -text
|
| 11763 |
+
train/FloorPlan3/47/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11764 |
+
train/FloorPlan3/47/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11765 |
+
train/FloorPlan3/47/rgb_0.png filter=lfs diff=lfs merge=lfs -text
|
| 11766 |
+
train/FloorPlan3/47/rgb_1_mask_Kettle|-01.69|+01.31|-03.16.png filter=lfs diff=lfs merge=lfs -text
|
| 11767 |
+
train/FloorPlan3/47/rgb_1_mask_Toaster|-01.89|+01.31|-02.51.png filter=lfs diff=lfs merge=lfs -text
|
| 11768 |
+
train/FloorPlan3/2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11769 |
+
train/FloorPlan3/2/rgb_1_mask_Bread|-01.51|+01.38|+00.66.png filter=lfs diff=lfs merge=lfs -text
|
| 11770 |
+
train/FloorPlan3/2/rgb_1.png filter=lfs diff=lfs merge=lfs -text
|
| 11771 |
+
train/FloorPlan3/2/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11772 |
+
train/FloorPlan3/2/rgb_0_mask_Cabinet|-01.46|+00.78|+00.47.png filter=lfs diff=lfs merge=lfs -text
|
| 11773 |
+
train/FloorPlan3/2/rgb_0_mask_GarbageCan|-01.63|+00.21|+02.19.png filter=lfs diff=lfs merge=lfs -text
|
| 11774 |
+
train/FloorPlan3/2/rgb_0_mask_Plate|-01.47|+01.31|+00.24.png filter=lfs diff=lfs merge=lfs -text
|
| 11775 |
+
train/FloorPlan3/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11776 |
+
train/FloorPlan3/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
| 11777 |
+
train/FloorPlan3/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
|
| 11778 |
+
train/FloorPlan3/2/rgb_0_mask_Bread|-01.51|+01.38|+00.66.png filter=lfs diff=lfs merge=lfs -text
|
| 11779 |
+
train/FloorPlan3/2/rgb_1_mask_Cabinet|-01.46|+00.78|+00.47.png filter=lfs diff=lfs merge=lfs -text
|
| 11780 |
+
train/FloorPlan3/2/rgb_0_mask_Cabinet|-01.46|+00.78|+01.31.png filter=lfs diff=lfs merge=lfs -text
|
| 11781 |
+
train/FloorPlan3/2/rgb_1_mask_Plate|-01.47|+01.31|+00.24.png filter=lfs diff=lfs merge=lfs -text
|
| 11782 |
+
train/FloorPlan3/2/rgb_1_mask_Cabinet|-01.46|+00.78|+01.31.png filter=lfs diff=lfs merge=lfs -text
|
| 11783 |
+
train/FloorPlan3/19/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
|
train/FloorPlan3/0/0.json
ADDED
|
@@ -0,0 +1,959 @@
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| 1 |
+
{"id": 2557, "folder_dir": "FloorPlan3/0", "pair_name": "1-0:Fridge|+01.01|+00.23|+01.92", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Drawer\nC. Fridge\nD. Cabinet", "answer": "C", "object_name": "Fridge", "image_1": "FloorPlan3/0/rgb_1.png", "image_2": "FloorPlan3/0/rgb_0.png", "mask_image": "FloorPlan3/0/rgb_0_mask_Fridge|+01.01|+00.23|+01.92.png", "options": ["Cabinet", "Drawer", "Fridge", "Cabinet"]}
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{"id": 875, "folder_dir": "FloorPlan3/0", "query": "Which of the following objects is closest to SideTable in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. CounterTop\nB. Bread\nC. Fridge\nD. Other\n", "answer": "C", "src_object": "SideTable", "target_object": "Fridge", "question": "Which of the following objects is closest to SideTable in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "CounterTop", "semantic_id": "CounterTop|-01.81|+01.36|+01.18", "distance": 2.0829134022199685, "com": {"x": -0.41482722759246826, "y": 1.3199222087860107, "z": -0.5597543716430664}}, {"text": "Bread", "semantic_id": "Bread|-01.51|+01.38|+00.66", "distance": 2.5829554177122502, "com": {"x": -1.5136306285858154, "y": 1.3761152029037476, "z": 0.6619971990585327}}, {"text": "Fridge", "semantic_id": "Fridge|+01.01|+00.23|+01.92", "distance": 1.1625402100569582, "com": {"x": 0.9829819202423096, "y": 1.2197092771530151, "z": 1.920401930809021}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/0/rgb_0.png", "image_2": "FloorPlan3/0/rgb_1.png"}
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| 2 |
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{"id": 876, "folder_dir": "FloorPlan3/0", "query": "Which of the following objects is closest to Fridge in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. SideTable\nB. ButterKnife\nC. GarbageCan\nD. Other\n", "answer": "A", "src_object": "Fridge", "target_object": "SideTable", "question": "Which of the following objects is closest to Fridge in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "SideTable", "semantic_id": "SideTable|+00.98|+00.22|+00.87", "distance": 1.1625402100569582, "com": {"x": 0.9761796593666077, "y": 0.721037745475769, "z": 0.8702685236930847}}, {"text": "ButterKnife", "semantic_id": "ButterKnife|-01.57|+01.32|+01.35", "distance": 2.618240548738412, "com": {"x": -1.5694514513015747, "y": 1.313732385635376, "z": 1.3447048664093018}}, {"text": "GarbageCan", "semantic_id": "GarbageCan|-01.63|+00.21|+02.19", "distance": 2.7438390990102155, "com": {"x": -1.6328880786895752, "y": 0.4376380741596222, "z": 2.192875385284424}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/0/rgb_0.png", "image_2": "FloorPlan3/0/rgb_1.png"}
|
train/FloorPlan3/0/rgb_0.png
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train/FloorPlan3/0/rgb_0_mask_Fridge|+01.01|+00.23|+01.92.png
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train/FloorPlan3/0/rgb_1.png
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train/FloorPlan3/0/semantic_0.png
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train/FloorPlan3/0/semantic_1.png
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train/FloorPlan3/1/0.json
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train/FloorPlan3/1/0_depth_npy.npy
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train/FloorPlan3/1/0_semantic_sensor_npy.npy
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train/FloorPlan3/1/1.json
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train/FloorPlan3/1/1_depth_npy.npy
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train/FloorPlan3/1/1_semantic_sensor_npy.npy
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train/FloorPlan3/1/depth_0.png
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train/FloorPlan3/1/depth_1.png
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train/FloorPlan3/1/mask_questions.jsonl
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{"id": 2565, "folder_dir": "FloorPlan3/1", "pair_name": "0-1:Pot|-01.58|+01.31|-01.58", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. ButterKnife\nB. Stool\nC. Pot\nD. Apple", "answer": "C", "object_name": "Pot", "image_1": "FloorPlan3/1/rgb_0.png", "image_2": "FloorPlan3/1/rgb_1.png", "mask_image": "FloorPlan3/1/rgb_1_mask_Pot|-01.58|+01.31|-01.58.png", "options": ["ButterKnife", "Stool", "Pot", "Apple"]}
|
| 2 |
+
{"id": 2566, "folder_dir": "FloorPlan3/1", "pair_name": "0-1:Faucet|-02.13|+01.32|-00.81", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Faucet\nB. Stool\nC. Apple\nD. Drawer", "answer": "A", "object_name": "Faucet", "image_1": "FloorPlan3/1/rgb_0.png", "image_2": "FloorPlan3/1/rgb_1.png", "mask_image": "FloorPlan3/1/rgb_1_mask_Faucet|-02.13|+01.32|-00.81.png", "options": ["Faucet", "Stool", "Apple", "Drawer"]}
|
| 3 |
+
{"id": 2567, "folder_dir": "FloorPlan3/1", "pair_name": "0-1:Drawer|-01.61|+00.68|-00.43", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. SideTable\nB. Apple\nC. Drawer\nD. ButterKnife", "answer": "C", "object_name": "Drawer", "image_1": "FloorPlan3/1/rgb_0.png", "image_2": "FloorPlan3/1/rgb_1.png", "mask_image": "FloorPlan3/1/rgb_1_mask_Drawer|-01.61|+00.68|-00.43.png", "options": ["SideTable", "Apple", "Drawer", "ButterKnife"]}
|
| 4 |
+
{"id": 2568, "folder_dir": "FloorPlan3/1", "pair_name": "1-0:Pot|-01.58|+01.31|-01.58", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Toaster\nC. Apple\nD. Pot", "answer": "D", "object_name": "Pot", "image_1": "FloorPlan3/1/rgb_1.png", "image_2": "FloorPlan3/1/rgb_0.png", "mask_image": "FloorPlan3/1/rgb_0_mask_Pot|-01.58|+01.31|-01.58.png", "options": ["Cabinet", "Toaster", "Apple", "Pot"]}
|
| 5 |
+
{"id": 2569, "folder_dir": "FloorPlan3/1", "pair_name": "1-0:Faucet|-02.13|+01.32|-00.81", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Apple\nB. Kettle\nC. Toaster\nD. Faucet", "answer": "D", "object_name": "Faucet", "image_1": "FloorPlan3/1/rgb_1.png", "image_2": "FloorPlan3/1/rgb_0.png", "mask_image": "FloorPlan3/1/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png", "options": ["Apple", "Kettle", "Toaster", "Faucet"]}
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train/FloorPlan3/1/questions_distance.jsonl
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{"id": 881, "folder_dir": "FloorPlan3/1", "query": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Plate\nB. Cup\nC. Egg\nD. Other\n", "answer": "B", "src_object": "CounterTop", "target_object": "Cup", "question": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Plate", "semantic_id": "Plate|-01.47|+01.31|+00.24", "distance": 1.3240335781651267, "com": {"x": -1.4675458669662476, "y": 1.3243855237960815, "z": 0.24325774610042572}}, {"text": "Cup", "semantic_id": "Cup|+00.68|+01.31|-00.90", "distance": 1.150275865856867, "com": {"x": 0.6816283464431763, "y": 1.3818168640136719, "z": -0.9019367694854736}}, {"text": "Egg", "semantic_id": "Egg|-01.57|+01.36|-01.05", "distance": 1.2530732908311164, "com": {"x": -1.566115140914917, "y": 1.3560426235198975, "z": -1.0531346797943115}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/1/rgb_0.png", "image_2": "FloorPlan3/1/rgb_1.png"}
|
| 2 |
+
{"id": 882, "folder_dir": "FloorPlan3/1", "query": "Which of the following objects is closest to HousePlant in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Faucet\nB. SoapBottle\nC. Bowl\nD. Other\n", "answer": "B", "src_object": "HousePlant", "target_object": "SoapBottle", "question": "Which of the following objects is closest to HousePlant in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Faucet", "semantic_id": "Faucet|-02.13|+01.32|-00.81", "distance": 0.6799515039827017, "com": {"x": -2.0429160594940186, "y": 1.558166742324829, "z": -0.6851431131362915}}, {"text": "SoapBottle", "semantic_id": "SoapBottle|-01.79|+01.31|-00.10", "distance": 0.3394444046960645, "com": {"x": -1.7943360805511475, "y": 1.4292166233062744, "z": -0.10464583337306976}}, {"text": "Bowl", "semantic_id": "Bowl|-01.82|+01.31|+00.27", "distance": 0.4629087357011041, "com": {"x": -1.8167405128479004, "y": 1.3581280708312988, "z": 0.27289655804634094}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/1/rgb_0.png", "image_2": "FloorPlan3/1/rgb_1.png"}
|
train/FloorPlan3/1/rgb_0.png
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train/FloorPlan3/1/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png
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train/FloorPlan3/1/rgb_0_mask_Pot|-01.58|+01.31|-01.58.png
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train/FloorPlan3/1/rgb_1.png
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train/FloorPlan3/1/rgb_1_mask_Drawer|-01.61|+00.68|-00.43.png
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train/FloorPlan3/1/rgb_1_mask_Faucet|-02.13|+01.32|-00.81.png
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train/FloorPlan3/1/rgb_1_mask_Pot|-01.58|+01.31|-01.58.png
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train/FloorPlan3/1/semantic_0.png
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train/FloorPlan3/1/semantic_1.png
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train/FloorPlan3/10/0.json
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train/FloorPlan3/10/0_depth_npy.npy
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oid sha256:7e52ce5e26240d2abab463c980093eabc0f071531a19c0df0a6c9d2f3d780fe6
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train/FloorPlan3/10/0_semantic_sensor_npy.npy
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train/FloorPlan3/10/1.json
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train/FloorPlan3/10/1_semantic_sensor_npy.npy
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train/FloorPlan3/10/depth_0.png
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train/FloorPlan3/10/depth_1.png
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train/FloorPlan3/10/mask_questions.jsonl
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{"id": 2580, "folder_dir": "FloorPlan3/10", "pair_name": "0-1:Faucet|-02.13|+01.32|-00.81", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Drawer\nB. PaperTowelRoll\nC. Apple\nD. Faucet", "answer": "D", "object_name": "Faucet", "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png", "mask_image": "FloorPlan3/10/rgb_1_mask_Faucet|-02.13|+01.32|-00.81.png", "options": ["Drawer", "PaperTowelRoll", "Apple", "Faucet"]}
|
| 2 |
+
{"id": 2581, "folder_dir": "FloorPlan3/10", "pair_name": "0-1:Lettuce|-01.89|+01.40|-01.07", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Toaster\nB. StoveBurner\nC. Lettuce\nD. Apple", "answer": "C", "object_name": "Lettuce", "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png", "mask_image": "FloorPlan3/10/rgb_1_mask_Lettuce|-01.89|+01.40|-01.07.png", "options": ["Toaster", "StoveBurner", "Lettuce", "Apple"]}
|
| 3 |
+
{"id": 2582, "folder_dir": "FloorPlan3/10", "pair_name": "0-1:SoapBottle|-01.79|+01.31|-00.10", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. PaperTowelRoll\nB. SoapBottle\nC. Apple\nD. Pot", "answer": "B", "object_name": "SoapBottle", "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png", "mask_image": "FloorPlan3/10/rgb_1_mask_SoapBottle|-01.79|+01.31|-00.10.png", "options": ["PaperTowelRoll", "SoapBottle", "Apple", "Pot"]}
|
| 4 |
+
{"id": 2583, "folder_dir": "FloorPlan3/10", "pair_name": "0-1:Drawer|-01.61|+00.68|-00.43", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Apple\nB. Drawer\nC. Spatula\nD. Cabinet", "answer": "B", "object_name": "Drawer", "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png", "mask_image": "FloorPlan3/10/rgb_1_mask_Drawer|-01.61|+00.68|-00.43.png", "options": ["Apple", "Drawer", "Spatula", "Cabinet"]}
|
| 5 |
+
{"id": 2584, "folder_dir": "FloorPlan3/10", "pair_name": "1-0:Faucet|-02.13|+01.32|-00.81", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Faucet\nB. Apple\nC. SinkBasin\nD. Cabinet", "answer": "A", "object_name": "Faucet", "image_1": "FloorPlan3/10/rgb_1.png", "image_2": "FloorPlan3/10/rgb_0.png", "mask_image": "FloorPlan3/10/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png", "options": ["Faucet", "Apple", "SinkBasin", "Cabinet"]}
|
| 6 |
+
{"id": 2585, "folder_dir": "FloorPlan3/10", "pair_name": "1-0:SoapBottle|-01.79|+01.31|-00.10", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Plate\nB. SoapBottle\nC. Apple\nD. Cabinet", "answer": "B", "object_name": "SoapBottle", "image_1": "FloorPlan3/10/rgb_1.png", "image_2": "FloorPlan3/10/rgb_0.png", "mask_image": "FloorPlan3/10/rgb_0_mask_SoapBottle|-01.79|+01.31|-00.10.png", "options": ["Plate", "SoapBottle", "Apple", "Cabinet"]}
|
| 7 |
+
{"id": 2586, "folder_dir": "FloorPlan3/10", "pair_name": "1-0:Drawer|-01.61|+00.68|-00.43", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. ButterKnife\nB. Drawer\nC. Apple\nD. SinkBasin", "answer": "B", "object_name": "Drawer", "image_1": "FloorPlan3/10/rgb_1.png", "image_2": "FloorPlan3/10/rgb_0.png", "mask_image": "FloorPlan3/10/rgb_0_mask_Drawer|-01.61|+00.68|-00.43.png", "options": ["ButterKnife", "Drawer", "Apple", "SinkBasin"]}
|
train/FloorPlan3/10/questions_distance.jsonl
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|
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{"id": 890, "folder_dir": "FloorPlan3/10", "query": "Which of the following objects is closest to Window in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Faucet\nB. DishSponge\nC. Lettuce\nD. Other\n", "answer": "A", "src_object": "Window", "target_object": "Faucet", "question": "Which of the following objects is closest to Window in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Faucet", "semantic_id": "Faucet|-02.13|+01.32|-00.81", "distance": 0.6638001764642575, "com": {"x": -2.0429160594940186, "y": 1.558166742324829, "z": -0.6851431131362915}}, {"text": "DishSponge", "semantic_id": "DishSponge|-02.05|+01.33|-00.96", "distance": 0.7696290187116944, "com": {"x": -2.0471019744873047, "y": 1.340208649635315, "z": -0.9619760513305664}}, {"text": "Lettuce", "semantic_id": "Lettuce|-01.89|+01.40|-01.07", "distance": 0.8913829349748008, "com": {"x": -1.8888757228851318, "y": 1.4031223058700562, "z": -1.0754473209381104}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png"}
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{"id": 891, "folder_dir": "FloorPlan3/10", "query": "Which of the following objects is closest to Faucet in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. DishSponge\nB. Mug\nC. Lettuce\nD. Other\n", "answer": "A", "src_object": "Faucet", "target_object": "DishSponge", "question": "Which of the following objects is closest to Faucet in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "DishSponge", "semantic_id": "DishSponge|-02.05|+01.33|-00.96", "distance": 0.3523630623695638, "com": {"x": -2.0471019744873047, "y": 1.340208649635315, "z": -0.9619760513305664}}, {"text": "Mug", "semantic_id": "Mug|-01.97|+01.04|-00.43", "distance": 0.5322756685286513, "com": {"x": -1.9815517663955688, "y": 1.0941578149795532, "z": -0.4316721558570862}}, {"text": "Lettuce", "semantic_id": "Lettuce|-01.89|+01.40|-01.07", "distance": 0.4473305010905948, "com": {"x": -1.8888757228851318, "y": 1.4031223058700562, "z": -1.0754473209381104}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png"}
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{"id": 892, "folder_dir": "FloorPlan3/10", "query": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Egg\nB. Potato\nC. Plate\nD. Other\n", "answer": "A", "src_object": "CounterTop", "target_object": "Egg", "question": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Egg", "semantic_id": "Egg|-01.57|+01.36|-01.05", "distance": 1.2530732908311164, "com": {"x": -1.566115140914917, "y": 1.3560426235198975, "z": -1.0531346797943115}}, {"text": "Potato", "semantic_id": "Potato|-01.61|+01.36|-01.24", "distance": 1.3738026293009107, "com": {"x": -1.6092149019241333, "y": 1.360414743423462, "z": -1.2373472452163696}}, {"text": "Plate", "semantic_id": "Plate|-01.47|+01.31|+00.24", "distance": 1.3240335781651267, "com": {"x": -1.4675458669662476, "y": 1.3243855237960815, "z": 0.24325774610042572}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png"}
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{"id": 893, "folder_dir": "FloorPlan3/10", "query": "Which of the following objects is closest to HousePlant in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. SoapBottle\nB. Faucet\nC. Bowl\nD. Other\n", "answer": "A", "src_object": "HousePlant", "target_object": "SoapBottle", "question": "Which of the following objects is closest to HousePlant in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "SoapBottle", "semantic_id": "SoapBottle|-01.79|+01.31|-00.10", "distance": 0.3394444046960645, "com": {"x": -1.7943360805511475, "y": 1.4292166233062744, "z": -0.10464583337306976}}, {"text": "Faucet", "semantic_id": "Faucet|-02.13|+01.32|-00.81", "distance": 0.6799515039827017, "com": {"x": -2.0429160594940186, "y": 1.558166742324829, "z": -0.6851431131362915}}, {"text": "Bowl", "semantic_id": "Bowl|-01.82|+01.31|+00.27", "distance": 0.4629087357011041, "com": {"x": -1.8167405128479004, "y": 1.3581280708312988, "z": 0.27289655804634094}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/10/rgb_0.png", "image_2": "FloorPlan3/10/rgb_1.png"}
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train/FloorPlan3/10/rgb_0.png
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Git LFS Details
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train/FloorPlan3/10/rgb_0_mask_Drawer|-01.61|+00.68|-00.43.png
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Git LFS Details
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train/FloorPlan3/10/rgb_0_mask_Faucet|-02.13|+01.32|-00.81.png
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Git LFS Details
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train/FloorPlan3/10/rgb_0_mask_SoapBottle|-01.79|+01.31|-00.10.png
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Git LFS Details
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train/FloorPlan3/10/rgb_1.png
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Git LFS Details
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