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MTMC_Tracking_2026: README update
Browse filesAdds the MTMC_Tracking_2026 sections to the dataset README:
- Directory structure and CT2.5-augmented scene table
- Ground-truth and calibration JSON format notes (same schema as 2025; class list now includes PalletTruck)
- 2026 Edition evaluation bullet
- Side-by-side scene-ID tables for 2025 and 2026 (Warehouse_000–Warehouse_025)
- Dataset-quantification row (26 scenes / 342 cams / 28.5 camera-hours / 11.1M 3D / 33.2M 2D / 2.94 TB)
- Concise changelog entry (incl. CT2.5 augmentation)
README.md
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### Dataset Creation Date
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We started to create this dataset in December, 2023. First version was completed and released as part of 8th AI City Challenge in conjunction with CVPR 2024.
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### Dataset Characterization
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- Data Collection Method: Synthetic
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- Labeling Method: Automatic with IsaacSim
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- Please be aware that the video identified as `scene_071/camera_0649` has encountered corruption issues. We advise you to exclude this video from your submissions.
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- In the sequences ranging from scenes 071 to 080, you'll find a storage room distinct from the primary retail space. Although separate, individuals can access this area. We have ensured that these sequences are synchronized effectively, treating them as part of the same continuous space for analysis purposes.
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### Directory Structure for `MTMC_Tracking_2025`
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- `videos/`: Video files.
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- `depth_maps/`: Depth maps stored as PNG images and compressed within HDF5 files. These files are exceedingly large; you may choose to use RGB videos only if preferred.
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- `ground_truth.json`: Detailed ground truth annotations (see below).
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- `calibration.json`: Camera calibration and metadata.
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- `map.png`: Visualization map in top-down view.
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### Ground Truth Format (JSON) for `MTMC_Tracking_2025`
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Annotations per frame:
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```json
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}
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```
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### Calibration Format (JSON) for `MTMC_Tracking_2025`
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Contains detailed calibration metadata per sensor:
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```json
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### Evaluation
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- **2024 Edition**: Evaluation based on 3D-location-based 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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- **2025 Edition**: Evaluation based on 3D-bounding-box-based HOTA scores at the [2025 AI City Challenge Server](https://eval.aicitychallenge.org/aicity2025).
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| Split | Scene ID | Scene Name |
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|-------|----------|----------------|
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| Test | 19 | Warehouse_019 |
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| Test | 20 | Warehouse_020 |
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## Dataset Quantification
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| Dataset | Annotation Type | Scenes | Hours | Cameras | Object Classes & Counts | No. 3D Boxes | No. 2D Boxes | Depth Maps | Total Size |
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|-------------------------|-------------------------------------------------------|--------|-------|---------|---------------------------------------------------------------|--------------|--------------|------------|------------|
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| **MTMC_Tracking_2024** | 2D bounding boxes, multi-camera tracking IDs | 90 | 212 | 953 | Person: 2,481 | 52M | 135M | No | 216.95 GB |
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| **MTMC_Tracking_2025** | 2D & 3D bounding boxes, multi-camera tracking IDs | 23 | 42 | 504 | Person: 292<br>Forklift: 13<br>NovaCarter: 28<br>Transporter: 23<br>FourierGR1T2: 6<br>AgilityDigit: 1<br>**Overall:** 363 | 8.9M | 73M | Yes | 3.31 TB |
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## References
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Please cite the following papers when using this dataset:
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- **2025-04-23**: Added 2025-format calibration and ground truth JSON files to all `MTMC_Tracking_2024` scenes.
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- **2025-05-19**: Updated corrupted files (videos and depth maps) in train/val scenes of `MTMC_Tracking_2025`.
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- **2025-05-28**: Added 4 test scenes of `MTMC_Tracking_2025` and provided scene ID table.
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- **2025-06-16**: Updated ground truth and calibration files, and removed misaligned videos and depth maps for train/val scenes in `MTMC_Tracking_2025`.
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### Dataset Creation Date
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We started to create this dataset in December, 2023. First version was completed and released as part of 8th AI City Challenge in conjunction with CVPR 2024.
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### Dataset Characterization
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- Data Collection Method: Synthetic
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- Labeling Method: Automatic with IsaacSim
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- Please be aware that the video identified as `scene_071/camera_0649` has encountered corruption issues. We advise you to exclude this video from your submissions.
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- In the sequences ranging from scenes 071 to 080, you'll find a storage room distinct from the primary retail space. Although separate, individuals can access this area. We have ensured that these sequences are synchronized effectively, treating them as part of the same continuous space for analysis purposes.
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### Directory Structure for `MTMC_Tracking_2025` and `MTMC_Tracking_2026`
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- `videos/`: Video files.
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- `depth_maps/`: Depth maps stored as PNG images and compressed within HDF5 files. These files are exceedingly large; you may choose to use RGB videos only if preferred.
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- `ground_truth.json`: Detailed ground truth annotations (see below).
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- `calibration.json`: Camera calibration and metadata.
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- `map.png`: Visualization map in top-down view.
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### Ground Truth Format (JSON) for `MTMC_Tracking_2025` and `MTMC_Tracking_2026`
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Annotations per frame:
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```json
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}
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```
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### Calibration Format (JSON) for `MTMC_Tracking_2025` and `MTMC_Tracking_2026`
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Contains detailed calibration metadata per sensor:
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```json
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### Evaluation
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- **2024 Edition**: Evaluation based on 3D-location-based 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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- **2025 Edition**: Evaluation based on 3D-bounding-box-based HOTA scores at the [2025 AI City Challenge Server](https://eval.aicitychallenge.org/aicity2025).
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- **2026 Edition**: Evaluation based on 3D-bounding-box-based HOTA scores at the 2026 AI City Challenge Server (link to be announced).
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#### Scene ID Tables
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<table>
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<tr>
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<th>MTMC_Tracking_2025</th>
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<th>MTMC_Tracking_2026</th>
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</tr>
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<tr>
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<td valign="top">
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| Split | Scene ID | Scene Name |
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|-------|----------|----------------|
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| Test | 19 | Warehouse_019 |
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| Test | 20 | Warehouse_020 |
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</td>
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<td valign="top">
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| Split | Scene ID | Scene Name |
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|-------|----------|----------------|
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| Train | 0 | Warehouse_000 |
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| Train | 1 | Warehouse_001 |
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| Train | 2 | Warehouse_002 |
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| Train | 3 | Warehouse_003 |
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| Train | 4 | Warehouse_004 |
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| Train | 5 | Warehouse_005 |
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| Train | 6 | Warehouse_006 |
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| Train | 7 | Warehouse_007 |
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| Train | 8 | Warehouse_008 |
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| Train | 9 | Warehouse_009 |
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| Train | 10 | Warehouse_010 |
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| Train | 11 | Warehouse_011 |
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| Train | 12 | Warehouse_012 |
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| Train | 13 | Warehouse_013 |
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| Train | 14 | Warehouse_014 |
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| Train | 15 | Warehouse_015 |
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| Train | 16 | Warehouse_016 |
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| Train | 17 | Warehouse_017 |
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| Train | 18 | Warehouse_018 |
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| Train | 19 | Warehouse_019 |
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| Val | 20 | Warehouse_020 |
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| Val | 21 | Warehouse_021 |
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| Val | 22 | Warehouse_022 |
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| Test | 23 | Warehouse_023 |
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| Test | 24 | Warehouse_024 |
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| Test | 25 | Warehouse_025 |
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*Scenes 001 / 003 / 005 / 007 / 021 / 024 are **Cosmos Transfer 2.5 (CT2.5)** augmented re-renderings of 000 / 002 / 004 / 006 / 020 / 023 respectively (same scene & cameras, augmented RGB).*
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</td>
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</tr>
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</table>
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## Dataset Quantification
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| Dataset | Annotation Type | Scenes | Hours | Cameras | Object Classes & Counts | No. 3D Boxes | No. 2D Boxes | Depth Maps | Total Size |
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|-------------------------|-------------------------------------------------------|--------|-------|---------|---------------------------------------------------------------|--------------|--------------|------------|------------|
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| **MTMC_Tracking_2024** | 2D bounding boxes, multi-camera tracking IDs | 90 | 212 | 953 | Person: 2,481 | 52M | 135M | No | 216.95 GB |
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| **MTMC_Tracking_2025** | 2D & 3D bounding boxes, multi-camera tracking IDs | 23 | 42 | 504 | Person: 292<br>Forklift: 13<br>NovaCarter: 28<br>Transporter: 23<br>FourierGR1T2: 6<br>AgilityDigit: 1<br>**Overall:** 363 | 8.9M | 73M | Yes | 3.31 TB |
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| **MTMC_Tracking_2026** | 2D & 3D bounding boxes, multi-camera tracking IDs | 26 | 28.5 | 342 | Person: 901<br>Forklift: 121<br>PalletTruck: 115 *(new)*<br>Transporter: 71<br>FourierGR1T2: 70<br>AgilityDigit: 69<br>NovaCarter: 32<br>**Overall:** 1,379 | 11.1M | 33.2M | Yes | 2.94 TB |
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## References
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Please cite the following papers when using this dataset:
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- **2025-04-23**: Added 2025-format calibration and ground truth JSON files to all `MTMC_Tracking_2024` scenes.
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- **2025-05-19**: Updated corrupted files (videos and depth maps) in train/val scenes of `MTMC_Tracking_2025`.
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- **2025-05-28**: Added 4 test scenes of `MTMC_Tracking_2025` and provided scene ID table.
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- **2025-06-16**: Updated ground truth and calibration files, and removed misaligned videos and depth maps for train/val scenes in `MTMC_Tracking_2025`.
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- **2026-04-29**: Initial release of `MTMC_Tracking_2026` — 26 scenes, 342 cameras, 28.5 camera-hours of 1080p video, 11.1M 3D boxes / 33.2M 2D boxes, with depth maps; calibration and `object type` aligned to the 2025 schema. 6 scenes (`Warehouse_001`, `_003`, `_005`, `_007`, `_021`, `_024`) are **Cosmos Transfer 2.5 (CT2.5) augmented** re-renderings of their source scenes (same scene/cameras/calibration/depth/GT, augmented RGB).
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