sakifkhan98/cattle-vision-framework
Object Detection • Updated
Datasets:
json dict | __key__ stringlengths 14 71 | __url__ stringclasses 2
values |
|---|---|---|
{
"dataset": "cbvd5",
"frames": {
"2": [
{
"bbox": [
989.0999141908277,
304.79998591517193,
1127.1998904966722,
698.4000262918594
],
"mask_area": 23891,
"mask_rle": {
"counts": "icgP17]Q1i0XOb0eoNcN\\o0_2aPOdM]n0X3D2M3N1O0O1... | cbvd5/341_tracks | /tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vision-e7120db8/hub/datasets--sakifkhan98--cattle-vision-data/snapshots/7a93b54c62829845396e8a1011a8bbaebd5b34b3/tracking_v2_cbvd5.tar.gz |
{
"dataset": "cbvd5",
"frames": {
"2": [
{
"bbox": [
1534.3000485301018,
100.00000029848287,
1599.1999514698982,
164.99999970151714
],
"mask_area": 4260,
"mask_rle": {
"counts": "cm_b14YQ1>K3J5K6H8I7J6L3O101O0000010OgNSPOh0l... | cbvd5/117_tracks | /tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vision-e7120db8/hub/datasets--sakifkhan98--cattle-vision-data/snapshots/7a93b54c62829845396e8a1011a8bbaebd5b34b3/tracking_v2_cbvd5.tar.gz |
{
"dataset": "cbvd5",
"frames": {
"2": [],
"3": [
{
"bbox": [
1730.000000935832,
356.3999813945521,
1878.999999064168,
683.7999697773229
],
"mask_area": 14256,
"mask_rle": {
"counts": "b^Yi14ZQ1d0TOg0H4J6N2N2N1N3M2N2M3dQ... | cbvd5/327_tracks | /tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vision-e7120db8/hub/datasets--sakifkhan98--cattle-vision-data/snapshots/7a93b54c62829845396e8a1011a8bbaebd5b34b3/tracking_v2_cbvd5.tar.gz |
{
"dataset": "cbvd5",
"frames": {
"2": [
{
"bbox": [
896.7999868265032,
278.7999874303489,
991.7000131734968,
357.50000036261986
],
"mask_area": 5379,
"mask_rle": {
"counts": "Zaem05YQ1`0E8E:M2O1N2O1O1O000O2O000O100O1000000O... | cbvd5/116_tracks | /tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vision-e7120db8/hub/datasets--sakifkhan98--cattle-vision-data/snapshots/7a93b54c62829845396e8a1011a8bbaebd5b34b3/tracking_v2_cbvd5.tar.gz |
{"dataset":"cbvd5","frames":{"2":[{"bbox":[1059.6000358465537,110.30000415239752,1180.5000618096963,(...TRUNCATED) | cbvd5/452_tracks | "/tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vi(...TRUNCATED) |
{"dataset":"cbvd5","frames":{"2":[{"bbox":[817.2999578483972,385.5999891820936,1239.3999933234777,65(...TRUNCATED) | cbvd5/610_tracks | "/tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vi(...TRUNCATED) |
{"dataset":"cbvd5","frames":{"2":[],"3":[],"4":[{"bbox":[847.9000900678518,394.2000100698614,1238.20(...TRUNCATED) | cbvd5/647_tracks | "/tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vi(...TRUNCATED) |
{"dataset":"cbvd5","frames":{"2":[{"bbox":[423.89997892202507,463.599991284158,646.6999966639124,700(...TRUNCATED) | cbvd5/668_tracks | "/tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vi(...TRUNCATED) |
{"dataset":"cbvd5","frames":{"2":[{"bbox":[1838.3000494515816,251.89999312661558,1920.4999993765434,(...TRUNCATED) | cbvd5/481_tracks | "/tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vi(...TRUNCATED) |
{"dataset":"cbvd5","frames":{"2":[{"bbox":[1536.900086524783,126.89999479980182,1649.700011131467,31(...TRUNCATED) | cbvd5/283_tracks | "/tmp/hf-datasets-cache/medium/datasets/85527843319154-config-parquet-and-info-sakifkhan98-cattle-vi(...TRUNCATED) |
End of preview. Expand in Data Studio
Cattle Vision Data — Pre-computed Tracking Results
Pre-computed OC-SORT tracking outputs (with SAM2 mask RLEs) for the 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)
# 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:
{
"frame_idx": 0,
"track_id": 1,
"bbox": [x1, y1, x2, y2],
"score": 0.95,
"mask_rle": {"size": [H, W], "counts": "..."}
}
Citation
@mastersthesis{khan2026cattle,
author = {Sakif Khan},
title = {Multi-Behavior Recognition in Dairy Cattle from Surveillance Video},
school = {Texas State University},
year = {2026},
}
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Models trained or fine-tuned on sakifkhan98/cattle-vision-data