Machine-Learning-Oncology/orena-frame-annotations

ORena FOCUS 2026 — FRAME supplementary annotations (public half)

Supplementary VQA annotations produced by MLO-Lab for the ORena FOCUS 2026 FRAME track. This is the openly releasable half; the LapChole-FOCUS half is withheld under that dataset's usage agreement until the organisers publish it.

Also included: raw/hernia_mesh_annotations/ (12 frame-level annotation sheets) and frames/ (232 JPEGs, 30 MB).

Frames

HeiCo frames are not redistributed. Each row carries frame_index, the absolute frame number in the source video, so the image resolves from your own copy of FOCUS at <root>/heico/frames/<video>/frame<NNNNNNN>.jpg.

Hernia frames are included because the videos are not part of FOCUS. All 232 are frames the annotation sheets mark up directly — the annotated set exactly, nothing beyond it.

Licensing

Not uniform — read before reuse.

• —HeiCo-derived questions — derivative annotations of HeiCo-FOCUS; the underlying dataset's terms apply.
• —Hernia frames and questions — the source videos carry the standard YouTube licence, not an open licence. We redistribute annotated frames only, never the video, under a direct agreement with the channel owner, for non-commercial research use only. Full provenance with titles and links is in `SOURCES.md` and sources.json.

Use

Code, schemas and the merge tooling: https://github.com/MLO-lab/frame-orena

python annotations/fetch.py
sbatch slurm/1_prepare_data.sbatch

The remaining 5,048 questions are the withheld LapChole half, available on request.

Acknowledgements

We are grateful to Dr. Todd S. Harris of California Hernia Specialists, who kindly allowed us to use twelve of his publicly available laparoscopic hernia-repair videos in this work. His permission covers non-commercial research use and the release of the annotated frames; the original videos remain his and are not redistributed. The video titles and links are listed in SOURCES.md.