update the dataset card

README.md

@@ -6,4 +6,162 @@ tags:
 - building
 size_categories:
 - 1K<n<10K
----
+---
+
+
+
+
+# Building Contour Detection and Height Estimation Problem
+
+
+
+## Dataset Summary
+
+The **building_height_estimation** dataset is a collection of satellite images with annotated building footprints (polygons) and corresponding building heights.
+It is designed for the **joint tasks of building contour detection (segmentation)** and **height estimation (regression)** from monocular aerial images.
+
+* **Source & Owner**: The dataset originates from the [AlgoTester Building Contour Detection & Height Estimation Contest](https://algotester.com/en/ContestProblem/DisplayWithFile/135254).
+* **Hugging Face Host**: [MElHuseyni / building_height_estimation](https://huggingface.co/datasets/MElHuseyni/building_height_estimation).
+* **License**: MIT
+* **Tags**: `building`, `segmentation`, `regression`, `remote sensing`
+
+![Example of a dataset sample: a 512×512 satellite image with annotated building footprints (polygon overlays) and their corresponding height values](https://cdn-uploads.huggingface.co/production/uploads/6422eab8e2029ade06eeee2c/MpD7VOzEZ0YbsNzWr_GD8.png)
+
+*Example of a dataset sample: a 512×512 satellite image with annotated building footprints (polygon overlays) and their corresponding height values.*
+
+---
+
+## Dataset Description
+
+Each sample consists of:
+
+* **Image**: RGB satellite image (512×512 px).
+* **Annotations**: A LabelMe-like JSON containing:
+
+  * `points`: Polygon vertices (x, y) marking building footprints
+  * `group_id`: Numeric building height (meters)
+
+The dataset supports training and evaluation for:
+
+* Building footprint extraction
+* Height estimation from monocular imagery
+* Joint segmentation + regression architectures
+
+---
+
+## Dataset Structure
+
+```
+/
+├── images/                # Training images
+│   ├── img0001.png
+│   ├── ...
+│
+├── ground_truth_files/    # Training labels (JSON)
+│   ├── img0001.json
+│   ├── ...
+│
+└── test_images/           # Test set (no ground truth provided)
+    ├── test0001.png
+    ├── ...
+```
+
+**Example Label (JSON):**
+
+```json
+{
+  "shapes": [
+    {
+      "points": [[316, 486], [307, 510], [312, 512]],
+      "group_id": 9
+    },
+    {
+      "points": [[416, 457], [435, 446], [421, 423], [402, 434]],
+      "group_id": 7
+    }
+  ]
+}
+```
+
+---
+
+## Evaluation & Scoring
+
+The official contest defines the score as:
+
+```
+Score = max(0, ⌊ (Precision + Recall − 4 × HeightError) × 5 × 10⁴ ⌋)
+```
+
+* **Precision**: Correct predicted building area ÷ total predicted area
+* **Recall**: Correctly matched ground truth area ÷ total ground truth area
+* **HeightError**: Weighted RMSE of predicted vs. true heights for matched buildings
+
+**Important constraints:**
+
+* ≤ 1,000 buildings per image
+* ≤ 300 vertices per polygon
+* Total vertices per JSON ≤ 5,000
+* Height ∈ [0, 1000] meters
+* Coordinates within [0, 512]
+* No self-intersecting polygons
+* Overlap between two buildings ≤ 10% of smaller area
+
+---
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("MElHuseyni/building_height_estimation")
+
+sample = ds["train"][0]
+print(sample["image"])
+print(sample["buildings"])
+```
+
+Each `building` entry contains a list of polygon points and a height value.
+
+---
+
+## Limitations
+
+* **Monocular Input**: Heights are inferred from a single RGB image, no stereo or LiDAR.
+* **Annotation Noise**: Minor misalignments or errors in footprints may exist.
+* **Imbalance**: Height distribution may be skewed (low-rise dominant).
+* **Test Labels**: Hidden; only evaluable via AlgoTester scoring scripts.
+
+---
+
+## Citation
+
+If you use this dataset, please cite both the Hugging Face dataset and the original AlgoTester contest:
+
+```
+@misc{building_height_estimation_MElHuseyni,
+  title = {building_height_estimation},
+  author = {MElHuseyni},
+  year = {2025},
+  howpublished = {Hugging Face Dataset},
+  url = {https://huggingface.co/datasets/MElHuseyni/building_height_estimation}
+}
+
+@online{algotester_building_height,
+  title = {Building Contour Detection & Height Estimation Contest},
+  author = {AlgoTester},
+  year = {2024},
+  url = {https://algotester.com/en/ContestProblem/DisplayWithFile/135254}
+}
+```
+
+---
+
+## Acknowledgements
+
+* Dataset originally prepared and hosted by **AlgoTester** for their contest.
+* Curated and published on Hugging Face by **[MElHuseyni](https://huggingface.co/MElHuseyni)**.
+* Licensed under MIT for research and development purposes.
+
+---
+