SADL - Open Detection: leaderboard
Metric: Open detection F1 (%, times 100): the model lists distractors from the image and subject description alone, the labels are grounded to masks by SAM 3 and matched to annotated distractors at IoU 0.5, over the 14,617 annotated candidates of SADL (1,800 subject-aware cases on 1,000 photographs, including 1,938 hard negatives), zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro | 40.6 |
| 2 | Qwen 3 VL 235B A22B | 36.2 |
| 3 | GPT-4.1 | 32.5 |
| 4 | Pixtral-12B | 29.8 |
| 5 | GPT-4o | 27.6 |
| 6 | Molmo2-8B | 27.5 |
| 7 | Llama 4 Scout | 26.5 |
Interactive version: theaggregate.ai/benchmark?slug=sadl-open-detection · How It Works · Data refreshed daily, snapshot 2026-09-29.