EgoMonth - Detail Retrieval: leaderboard
The Detail Retrieval task of EgoMonth (Nanjing University, 2026): recalling fine-grained visual details, over month-long first-person recordings. Accuracy in percent on 287 four-option questions (chance 25); higher is better.
Metric: Accuracy (%; 287 detail retrieval questions; four-option multiple-choice questions written by annotators over month-long first-person recordings of 20 participants (over 300 hours, 20 to 120 days each), answers matched to the key without an LLM judge; each model at its official frame setting (16 to 512 frames, 1 fps for Gemini); chance 25%). Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 77.7 | #266 |
| 2 | Qwen 2 VL 7B | 58.9 | #2261 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=egomonth-detail-retrieval · How It Works · Data refreshed daily, snapshot 2026-11-13.