Datasets:

baochenfu
/

OCT-Bench

license: apache-2.0
task_categories:
  - image-text-to-text
tags:
  - multimodal
  - ophthalmology
  - OCT
  - benchmark
  - medical
  - visual question answering

🤗 OCT-Bench

Paper | GitHub

We introduce OCT-Bench, a comprehensive benchmark for evaluating Multimodal Large Language Models (MLLMs) on optical coherence tomography (OCT) image understanding. OCT-Bench comprises 10,076 expert-verified multiple-choice questions from 4,137 OCT images across seven public datasets and evaluates 3 capability dimensions, 9 capability groups, and 20 fine-grained tasks covering perception, cognition, and clinical reasoning. We benchmark 20 representative MLLMs, including proprietary, open-source, and medical-domain models, providing a comprehensive assessment of OCT understanding capabilities.

For detailed usage and instructions, please refer to the GitHub page.

You can download OCT-Bench. The expected directory structure is:

OCT-Bench
├── images
│   ├── OCT5K
│   ├── OCTDL
│   └── ...
└── VQA
    ├── T01_VQA.jsonl
    ├── T02_VQA.jsonl
    └── ...