SeerRay-Lab/LensBench
LensBench LensBench is a segmentation benchmark for explicit and implicit instructions across general, aerial, driving, and panoramic images. It contains 1,200 human-reviewed paired evaluation units and 4,800 instruction-level samples. Paper · Project page · Code · Model Dataset design Each evaluation unit has four instructions crossing single/multiple targets with explicit/implicit wording. For a given target-cardinality condition, both wordings share the same… See the full description on the dataset page: https://huggingface.co/datasets/SeerRay-Lab/LensBench.
| Author / organization | SeerRay-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 October 2026 |
| Last updated at source | 19 October 2026 |
Recent changes
- 19 Oct 2026 Description: none → LensBench LensBench is a segmentation benchmark for explicit and implicit instructions across general, aerial, driving, and panoramic images. It contains 1,200 human-reviewed paired evaluation units and 4,800 instruction-level samples. Pape
- 19 Oct 2026 Topics added task_categories:image-segmentation removed en
- 19 Oct 2026 License: none → apache-2.0
- 19 Oct 2026 Topics added image, text, referring-expression-segmentation, visual-grounding, benchmark, en
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