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Reprojection Error Report Uploaded

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MTMC_Tracking_2026/test/Warehouse_026/vggt_reprojection_error.txt DELETED
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- size 1024
 
 
 
 
MTMC_Tracking_2026/test/Warehouse_027/vggt_reprojection_error.txt DELETED
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README.md CHANGED
@@ -201,19 +201,11 @@ Contains detailed calibration metadata per sensor:
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  Please cite the following papers when using this dataset:
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  ```bibtex
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- @InProceedings{Tang26AICity26,
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- author = {Zheng Tang and Shuo Wang and David C. Anastasiu and Ming-Ching Chang and Anuj Sharma and Quan Kong and Munkhjargal Gochoo and Jun-Wei Hsieh and Tomasz Kornuta and Zhedong Zheng and Renran Tian and Judah Goldfeder and Fulgencio Navarro and Yuxing Wang and Yizhou Wang and Sameer Satish Pusegaonkar and Anqi Li and Nalin Dadhich and Ridham Kachhadiya and Dhanishtha Patil and Haoquan Liang and Jiajun Li and Han Zhang and Yilin Zhao and Zaid Pervaiz Bhat and Shuyu Yang and Ashutosh Kumar and Rong Wang and Rafael Martin Nieto and Peter Christiansen and Ahmed Abduljawad and Mohanrasu Shanmugam and Nadeem Shaik and Sujit Biswas and Xunlei Wu and Vidya Murali and Rama Chellappa},
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- title = {The 10th {AI} {C}ity {C}hallenge},
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- booktitle = {Proc. ECCV Workshops},
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- address = {Malm\"o, Sweden},
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- year = {2026}
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- }
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-
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  @InProceedings{Tang25AICity25,
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  author = {Zheng Tang and Shuo Wang and David C. Anastasiu and Ming-Ching Chang and Anuj Sharma and Quan Kong and Norimasa Kobori and Munkhjargal Gochoo and Ganzorig Batnasan and Munkh-Erdene Otgonbold and Fady Alnajjar and Jun-Wei Hsieh and Tomasz Kornuta and Xiaolong Li and Yilin Zhao and Han Zhang and Subhashree Radhakrishnan and Arihant Jain and Ratnesh Kumar and Vidya N. Murali and Yuxing Wang and Sameer Satish Pusegaonkar and Yizhou Wang and Sujit Biswas and Xunlei Wu and Zhedong Zheng and Pranamesh Chakraborty and Rama Chellappa},
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  title = {The 9th {AI} {C}ity {C}hallenge},
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  booktitle = {Proc. ICCV Workshops},
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- pages = {5526–-5535},
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  address = {Honolulu, HI, USA},
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  year = {2025}
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  }
@@ -227,11 +219,11 @@ address = {Seattle, WA, USA},
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  year = {2024}
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  }
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- @misc{Wang26Unified3DPerception,
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- author = {Yizhou Wang and Sameer Pusegaonkar and Yuxing Wang and Anqi Li and Vishal Kumar and Chetan Sethi and Ganapathy Aiyer and Yun He and Kartikay Thakkar and Swapnil Rathi and Bhushan Rupde and Zheng Tang and Sujit Biswas},
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- title = {A unified {3D} object perception framework for real-time outside-in multi-camera systems},
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- note = {arXiv:2601.10819},
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- year = {2026}
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  }
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  ```
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@@ -241,7 +233,6 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
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  Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
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  ## Changelog
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- - **2026-07-27**: Added complete [Croissant metadata](./croissant.json), including Responsible AI fields, and VGGT reprojection-error reports for the two real-world `MTMC_Tracking_2026` test scenes: [`Warehouse_026`](./MTMC_Tracking_2026/test/Warehouse_026/vggt_reprojection_error.txt) and [`Warehouse_027`](./MTMC_Tracking_2026/test/Warehouse_027/vggt_reprojection_error.txt).
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  - **2026-06-04**: Released 2 real-world test scenes for `MTMC_Tracking_2026` — `Warehouse_026` (4 cameras) and `Warehouse_027` (7 cameras), provided as 1080p / 30 FPS video covering the first 60 seconds (1800 frames) of each scene — the labeled evaluation window — with 2025-format `calibration.json`. An offline HOTA evaluator that reproduces the official AICity MTMC metric is available in the [`spatialai-data-utils` evaluation tools](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/libs/analytics/spatialai-data-utils/tools/evaluation) (`evaluate_aicity_mtmc.py`).
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  - **2026-05-15**: Released 3 synthetic test sets for `MTMC_Tracking_2026`. The remaining real-world test sets are scheduled for release at the end of May. The evaluation system for the 2026 AI City Challenge Track 1 has also been postponed to the end of May. In addition, the 2025 AI City Challenge Track 1 evaluation system has been temporarily disabled and will be re-opened after the conclusion of the 2026 AI City Challenge.
247
  - **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 GT 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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  Please cite the following papers when using this dataset:
202
 
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  ```bibtex
 
 
 
 
 
 
 
 
204
  @InProceedings{Tang25AICity25,
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  author = {Zheng Tang and Shuo Wang and David C. Anastasiu and Ming-Ching Chang and Anuj Sharma and Quan Kong and Norimasa Kobori and Munkhjargal Gochoo and Ganzorig Batnasan and Munkh-Erdene Otgonbold and Fady Alnajjar and Jun-Wei Hsieh and Tomasz Kornuta and Xiaolong Li and Yilin Zhao and Han Zhang and Subhashree Radhakrishnan and Arihant Jain and Ratnesh Kumar and Vidya N. Murali and Yuxing Wang and Sameer Satish Pusegaonkar and Yizhou Wang and Sujit Biswas and Xunlei Wu and Zhedong Zheng and Pranamesh Chakraborty and Rama Chellappa},
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  title = {The 9th {AI} {C}ity {C}hallenge},
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  booktitle = {Proc. ICCV Workshops},
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+ pages = {5467--5476},
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  address = {Honolulu, HI, USA},
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  year = {2025}
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  }
 
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  year = {2024}
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  }
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+ @misc{Wang24MCBLT,
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+ author = {Yizhou Wang and Tim Meinhardt and Orcun Cetintas and Cheng-Yen Yang and Sameer Satish Pusegaonkar and Benjamin Missaoui and Sujit Biswas and Zheng Tang and Laura Leal-Taix{\'e}},
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+ title = {{MCBLT}: {M}ulti-Camera Multi-Object {3D} Tracking in Long Videos},
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+ note = {arXiv:2412.00692},
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+ year = {2024}
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  }
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  ```
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233
  Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
234
 
235
  ## Changelog
 
236
  - **2026-06-04**: Released 2 real-world test scenes for `MTMC_Tracking_2026` — `Warehouse_026` (4 cameras) and `Warehouse_027` (7 cameras), provided as 1080p / 30 FPS video covering the first 60 seconds (1800 frames) of each scene — the labeled evaluation window — with 2025-format `calibration.json`. An offline HOTA evaluator that reproduces the official AICity MTMC metric is available in the [`spatialai-data-utils` evaluation tools](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/tree/develop/libs/analytics/spatialai-data-utils/tools/evaluation) (`evaluate_aicity_mtmc.py`).
237
  - **2026-05-15**: Released 3 synthetic test sets for `MTMC_Tracking_2026`. The remaining real-world test sets are scheduled for release at the end of May. The evaluation system for the 2026 AI City Challenge Track 1 has also been postponed to the end of May. In addition, the 2025 AI City Challenge Track 1 evaluation system has been temporarily disabled and will be re-opened after the conclusion of the 2026 AI City Challenge.
238
  - **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 GT 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).