Yuwen2024/ACaM-Bench
ACaM-Bench ACaM-Bench is an atomic, multiple-choice benchmark for evaluating whether vision-language models can recognize fine-grained camera movements in real-world and synthetic videos. It covers a two-level cinematographic taxonomy of 17 atomic camera movement classes spanning translations, rotations, focal-length changes, static shots, and object-centric movements. Splits Split # Items Task Source real 1464 4-way multiple choice Curated real-world… See the full description on the dataset page: https://huggingface.co/datasets/Yuwen2024/ACaM-Bench.
| Author / organization | Yuwen2024 |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 702 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 4 May 2026 |
| Last updated at source | 23 June 2026 |
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