FoodMonitor: leaderboard

Metric: C score (0-100; the paper's 0-1 score times 100): the mean of the environment-violation F1 and the person-violation F1, on the 477 one-minute FoodMonitor kitchen surveillance clips (3,307 annotated violations of a 27-item food safety rule document), frames at 1 fps plus the full rule document, structured JSON output; a prediction counts only if its rule category matches and a text comparison model accepts its description as the same violation, one-to-one; person violations must first localize the worker with at least ten box-and-time anchors (mean IoU 0.3, coverage 0.6); all models in thinking mode; higher is better. Source: arxiv.org. Saturation forecast: Around July 2028. 11 models tracked.

Top models

#ModelScore
1Seed 2.0 Pro (Thinking)36
2Gemini 3 Flash31.6
3GLM-4.6V27.9
4Gemini 3 Pro25
5Qwen 3.5 397B A17B23.1
6Kimi K2.520.8
7Qwen 3 VL 235B A22B (Thinking)19.3
8Qwen 3 VL 8B (Thinking)13

Interactive version: theaggregate.ai/benchmark?slug=foodmonitor · How It Works · Data refreshed daily, snapshot 2026-10-07.