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@@ -22,6 +22,21 @@ The dataset has been officially adopted by the AI City Challenge:
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  ## Dataset Structure
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  ### Directory Structure for `MTMC_Tracking_2025`
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  - `videos/`: MP4 files, 1920×1080 pixels resolution at 30 FPS.
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  - `ground_truth.json`: Detailed ground truth annotations (see below).
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  }
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  ```
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- ### Ground Truth Format (MOTChallenge) for `MTMC_Tracking_2024`
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- Annotations are provided in the following text format per line:
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-
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- ```
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- <camera_id> <obj_id> <frame_id> <xmin> <ymin> <width> <height> <xworld> <yworld>
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- ```
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-
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- - `<camera_id>`: Numeric identifier for the camera.
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- - `<obj_id>`: Consistent numeric identifier for each object across cameras.
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- - `<frame_id>`: Frame index starting from 0.
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- - `<xmin> <ymin> <width> <height>`: Axis-aligned bounding box coordinates in pixels (top-left origin).
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- - `<xworld> <yworld>`: Global coordinates (projected bottom points of objects) based on provided camera matrices.
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-
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- The video file and calibration (camera matrix and homography) are provided for each camera view.
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-
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  ## Evaluation
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  - **2024 Edition**: Evaluation based on HOTA scores at the [2024 AI City Challenge Server](https://eval.aicitychallenge.org/aicity2024). The submission is currently disabled, as the ground truths of test set are provided with this release.
@@ -102,7 +102,7 @@ The video file and calibration (camera matrix and homography) are provided for e
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  Please cite the following papers when using this dataset:
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  ```bibtex
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- @InProceedings{Shuo24AICity24,
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  author = {Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Meenakshi S. Arya and Anuj Sharma and Pranamesh Chakraborty and Sanjita Prajapati and Quan Kong and Norimasa Kobori and Munkhjargal Gochoo and Munkh-Erdene Otgonbold and Ganzorig Batnasan and Fady Alnajjar and Ping-Yang Chen and Jun-Wei Hsieh and Xunlei Wu and Sameer Satish Pusegaonkar and Yizhou Wang and Sujit Biswas and Rama Chellappa},
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  title = {The 8th {AI City Challenge}},
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  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
 
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  ## Dataset Structure
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+ ### Ground Truth Format (MOTChallenge) for `MTMC_Tracking_2024`
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+ Annotations are provided in the following text format per line:
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+
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+ ```
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+ <camera_id> <obj_id> <frame_id> <xmin> <ymin> <width> <height> <xworld> <yworld>
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+ ```
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+
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+ - `<camera_id>`: Numeric identifier for the camera.
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+ - `<obj_id>`: Consistent numeric identifier for each object across cameras.
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+ - `<frame_id>`: Frame index starting from 0.
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+ - `<xmin> <ymin> <width> <height>`: Axis-aligned bounding box coordinates in pixels (top-left origin).
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+ - `<xworld> <yworld>`: Global coordinates (projected bottom points of objects) based on provided camera matrices.
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+
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+ The video file and calibration (camera matrix and homography) are provided for each camera view.
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+
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  ### Directory Structure for `MTMC_Tracking_2025`
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  - `videos/`: MP4 files, 1920×1080 pixels resolution at 30 FPS.
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  - `ground_truth.json`: Detailed ground truth annotations (see below).
 
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  }
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  ```
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  ## Evaluation
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  - **2024 Edition**: Evaluation based on HOTA scores at the [2024 AI City Challenge Server](https://eval.aicitychallenge.org/aicity2024). The submission is currently disabled, as the ground truths of test set are provided with this release.
 
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  Please cite the following papers when using this dataset:
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  ```bibtex
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+ @InProceedings{Wang24AICity24,
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  author = {Shuo Wang and David C. Anastasiu and Zheng Tang and Ming-Ching Chang and Yue Yao and Liang Zheng and Mohammed Shaiqur Rahman and Meenakshi S. Arya and Anuj Sharma and Pranamesh Chakraborty and Sanjita Prajapati and Quan Kong and Norimasa Kobori and Munkhjargal Gochoo and Munkh-Erdene Otgonbold and Ganzorig Batnasan and Fady Alnajjar and Ping-Yang Chen and Jun-Wei Hsieh and Xunlei Wu and Sameer Satish Pusegaonkar and Yizhou Wang and Sujit Biswas and Rama Chellappa},
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  title = {The 8th {AI City Challenge}},
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  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},