Kimokcheon/FAME_benchmark
FAME Benchmark FAME is a benchmark for zero-shot, few-shot, and OOD medical image segmentation. It is introduced in arXiv:2607.27856: Benchmarking Foundation and Large Language Models for Few-Shot Medical Image Segmentation. If you use this benchmark, please cite the FAME paper. The BibTeX entry is provided in the Citation section. This Hugging Face dataset contains the released FAME JSON/JSONL protocols plus all referenced image and mask pixels. To keep the repository usable on… See the full description on the dataset page: https://huggingface.co/datasets/Kimokcheon/FAME_benchmark.
| Author / organization | Kimokcheon |
|---|---|
| License (as declared) | other |
| Downloads | 504 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 August 2026 |
| Last updated at source | 3 August 2026 |
Popularity, last 3 days
504 now (-48 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.