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2026
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| Online Access: | https://doi.org/10.5281/zenodo.20355567 |
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| _version_ | 1866902205093642240 |
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| author | Li, Yixin |
| author_facet | Li, Yixin |
| contents | <div>This archive contains the manually annotated ground-truth trajectories for the UDMT behavioral recording datasets. The corresponding behavioral videos are provided at Zenodo record 14580256: https://zenodo.org/records/14580256. The annotation files are stored in MOT format and can be matched to the videos according to their dataset/video names.</div> <div> </div> <div>Each annotation file follows the standard MOT-style frame-level format, where each row corresponds to one annotated animal instance in one annotated frame. The annotations provide object identities and bounding-box locations for evaluating multi-animal tracking performance.</div> <div> </div> <div>The manual annotations were generated at fixed frame intervals rather than for every video frame. The annotation interval depends on the dataset name:</div> <div> </div> <div>- Datasets containing "94hz": one annotated frame every 600 frames.</div> <div>- Datasets containing "flies": one annotated frame every 150 frames.</div> <div>- Datasets containing "celegans": one annotated frame every 150 frames.</div> <div>- All other datasets: one annotated frame every 300 frames.</div> <div> </div> <div>The dataset names and video names are designed to correspond directly by filename. </div> <div> </div> <div>These annotations are intended for quantitative evaluation of tracking accuracy and identity consistency in UDMT and related multi-animal tracking methods.</div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20355567 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | UDMT dataset: Manual annotations for behavioral recordings used in unsupervised multi-animal tracking Li, Yixin <div>This archive contains the manually annotated ground-truth trajectories for the UDMT behavioral recording datasets. The corresponding behavioral videos are provided at Zenodo record 14580256: https://zenodo.org/records/14580256. The annotation files are stored in MOT format and can be matched to the videos according to their dataset/video names.</div> <div> </div> <div>Each annotation file follows the standard MOT-style frame-level format, where each row corresponds to one annotated animal instance in one annotated frame. The annotations provide object identities and bounding-box locations for evaluating multi-animal tracking performance.</div> <div> </div> <div>The manual annotations were generated at fixed frame intervals rather than for every video frame. The annotation interval depends on the dataset name:</div> <div> </div> <div>- Datasets containing "94hz": one annotated frame every 600 frames.</div> <div>- Datasets containing "flies": one annotated frame every 150 frames.</div> <div>- Datasets containing "celegans": one annotated frame every 150 frames.</div> <div>- All other datasets: one annotated frame every 300 frames.</div> <div> </div> <div>The dataset names and video names are designed to correspond directly by filename. </div> <div> </div> <div>These annotations are intended for quantitative evaluation of tracking accuracy and identity consistency in UDMT and related multi-animal tracking methods.</div> |
| title | UDMT dataset: Manual annotations for behavioral recordings used in unsupervised multi-animal tracking |
| url | https://doi.org/10.5281/zenodo.20355567 |