| --- |
| pretty_name: AniTrack Core-4 |
| language: |
| - en |
| license: other |
| license_name: source-specific-terms |
| license_link: LICENSE.md |
| task_categories: |
| - keypoint-detection |
| - object-detection |
| tags: |
| - mouse |
| - rodent |
| - animal-pose |
| - core4 |
| - multi-animal |
| - dataset-recipe |
| annotations_creators: |
| - expert-generated |
| - crowdsourced |
| --- |
| |
| # AniTrack |
|
|
| The public data companion to |
| [LuminBench-AniTrack](https://github.com/Lumin-Science/LuminBench-AniTrack): |
| mouse detection and **Core-4 pose** (`nose`, `left_ear`, `right_ear`, `tail_base`). |
|
|
| ## What is published here? |
|
|
| This initial release contains **source-download manifests, semantic mappings, |
| an acquisition script, and the training-data recipe**. It does **not** contain |
| image shards, per-image labels, pretrained weights, or a ready-to-load |
| `datasets.load_dataset()` training table. The counts below describe the original |
| prepared training views, not payloads currently hosted on this Hub repository. |
|
|
| Upstream images and labels must be acquired from their original publishers, |
| under each source's terms. Public availability is not permission to relicense |
| or mirror every source. See [LICENSE.md](LICENSE.md). |
|
|
| ## Frozen recipe: Bridge-33K Rotating v2 |
|
|
| | Partition / training view | Frames | Mouse annotations | Use | |
| |---|---:|---:|---| |
| | Pose training | 32,713 | 53,420 | Gradient updates | |
| | Detector training | 32,754 | 53,502 | Gradient updates | |
| | External validation | 2,662 | 4,801 | Checkpoint selection | |
| | DLC historical test | 263 | 285 boxes / 283 Core-4-evaluable mice | Final comparison only | |
|
|
| The union before cleaning contains 27,826 external training frames plus 5,114 |
| TopViewMouse training frames. The latter includes 1,012 Openfield training |
| images; the disjoint 54 Openfield test images remain inside the frozen |
| 263-image historical test. Historical test images must not be used to train, |
| generate training pseudo-labels, select checkpoints, or tune thresholds. |
|
|
| ### Source families |
|
|
| Counts are upstream human-supervised frames across their available splits, |
| before the AniTrack split and cleaning operations. |
|
|
| | Source | Frames | Supervision / view | Terms and evidence | |
| |---|---:|---|---| |
| | [TopViewMouse5K v2](https://zenodo.org/records/13757509) | 5,114 train + 263 test | Human 27-point union; partial Core-4; mostly top view | Constituent-source terms; no single annotator-count claim | |
| | [MARS](https://data.caltech.edu/records/j1ww1-mdc55) | 15,000 | Two mice, seven points, top view | CC-BY-NC-4.0; five-worker median labels | |
| | [Kumar OFA](https://zenodo.org/records/6380163) | 8,910 | One mouse, twelve points, top view | Custom non-commercial terms; human labels, rater count unreported | |
| | [Lightning Pose CRIM13](https://figshare.com/articles/dataset/Lightning_Pose_dataset_CRIM13/24993384) | 5,260 labeled centers | Two mice, seven points, top view | CC-BY-4.0; five-annotator median; 21,040 neighboring frames are not human-labeled centers | |
| | [SLEAP mice_hc](https://docs.sleap.ai/v1.6.2/reference/datasets/#mice_hc) | 1,474 | Two mice, five points, overhead | Human labels; preserve dataset credits and verify redistribution terms | |
| | [SLEAP mice_of](https://docs.sleap.ai/v1.6.2/reference/datasets/) | 1,000 | One to five mice, partial Core-4, **below-floor** | Human labels; not a strict-overhead source; verify redistribution terms | |
| | [Mouse Lockbox](https://depositonce.tu-berlin.de/items/0d508909-ac27-46bd-9e52-17409196daeb) | 544 usable top-camera rows | One mouse, apparatus occlusions | CC-BY-4.0; human pose labels; only verified top camera used | |
|
|
| ### Sampling, cleaning, and limitations |
|
|
| MARS, Kumar and CRIM13 are capped at **1,242 frames per epoch each**, using |
| seeded rotating windows. Smaller sources retain their eligible frames. Pose |
| training rotates the selected target in multi-mouse images; detector training |
| retains all valid boxes in a selected frame. The original pose virtual epoch |
| contains 11,070 crops, with 600 epochs and global batch 64 (103,800 updates). |
|
|
| Human partial keypoints are masked, never filled with teacher predictions. |
| Near-complete overlap is excluded from the isolated pose-crop view but retained |
| for detector supervision when boxes remain useful. Empty records and exact |
| duplicate annotations are removed. The original detector loader additionally |
| skipped seven invalid normalized-label records; do not silently repair the |
| published recipe and still call it an exact reproduction. |
|
|
| Published video/group splits are preserved where available. MARS lacks released |
| session identifiers; its deterministic frame-hash split is **not proof of |
| session-independent generalization**. TopViewMouse does not expose reliable |
| session IDs either. SLEAP mice_of is a below-floor domain and should be reported |
| separately in source-level evaluations. |
| |
| ## Acquire the original archives |
| |
| Clone this small metadata repository **on the machine where you intend to store |
| the data**: |
| |
| ```bash |
| git clone https://huggingface.co/datasets/LuminScience/AniTrack |
| cd AniTrack |
| python3 download_sources.py --list |
| # Only after reviewing the upstream terms; downloads are explicit: |
| python3 download_sources.py --download --accept-source-terms \ |
| --output-root /your/data/raw |
| ``` |
| |
| The script uses only Python's standard library, validates pinned publisher MD5 |
| checksums (and sizes where available), and does not extract or alter the source |
| archives. Existing valid files are reused; invalid existing files cause a hard |
| failure. Use `--sources mars_topview_pose` to acquire a selected source. No |
| training split is created by this acquisition step. |
| |
| The `manifests/` files preserve native layouts and Core-4 mappings. The external |
| preparation configuration records the split and missing-label policies; |
| `recipe.json` records the combined training contract. Conversion, split audits, |
| and pose/detector training live in the companion code repository. Pin revisions |
| of both repositories for any experiment. The historical external staging |
| manifest filename containing `gated` refers to two now-directly-downloadable |
| sources, not a Hub access gate. |
| |
| ## Scope |
| |
| This is a frame-level detection/pose resource, not newly annotated ground truth |
| for persistent tracking identities. No new animal experiments were conducted |
| to produce this collection. Cite the original datasets and respect their animal |
| research, attribution, and usage requirements. Candidate datasets awaiting |
| access or semantic review are not counted in this recipe. |
| |
