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README.md

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+---
+license: mit
+tags:
+- cattle
+- behavior-recognition
+- object-tracking
+- animal-behavior
+- computer-vision
+---
+
+# Cattle Vision Data — Pre-computed Tracking Results
+
+Pre-computed OC-SORT tracking outputs (with SAM2 mask RLEs) for the
+[Cattle Vision Framework](https://github.com/sakifkhan98/cattle-vision-framework).
+
+Downloading these files skips scripts 06–08 (several hours of GPU inference on a V100).
+
+## Files
+
+| File | Uncompressed | Contents |
+|------|-------------|---------|
+| `tracking_v2_cbvd5.tar.gz` | ~20 MB | Per-video OC-SORT + SAM2 mask RLE JSONs for CBVD-5 |
+| `tracking_v2_cvb.tar.gz` | ~641 MB | Per-video OC-SORT + SAM2 mask RLE JSONs for CVB |
+
+## Usage (Quickstart Path)
+
+```bash
+# Download
+huggingface-cli download sakifkhan98/cattle-vision-data \
+  tracking_v2_cbvd5.tar.gz tracking_v2_cvb.tar.gz \
+  --repo-type dataset --local-dir /tmp/tracking_v2/
+
+# Extract into processed data directory
+mkdir -p data/processed/tracking_v2/
+tar -xf /tmp/tracking_v2/tracking_v2_cbvd5.tar.gz -C data/processed/tracking_v2/
+tar -xf /tmp/tracking_v2/tracking_v2_cvb.tar.gz   -C data/processed/tracking_v2/
+```
+
+After extraction, `data/processed/tracking_v2/{cbvd5,cvb}/` will be populated.
+Continue with `scripts/09_generate_tubelets.sh`.
+
+## JSON Schema
+
+Each `{video_id}_tracks.json` file contains per-frame tracking results:
+
+```json
+{
+  "frame_idx": 0,
+  "track_id": 1,
+  "bbox": [x1, y1, x2, y2],
+  "score": 0.95,
+  "mask_rle": {"size": [H, W], "counts": "..."}
+}
+```
+
+## Citation
+
+```bibtex
+@mastersthesis{khan2026cattle,
+  author = {Sakif Khan},
+  title  = {Multi-Behavior Recognition in Dairy Cattle from Surveillance Video},
+  school = {Texas State University},
+  year   = {2026},
+}
+```