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SEED-Bench Card

Benchmark details

Benchmark type: SEED-Bench-2 is a comprehensive large-scale benchmark for evaluating Multimodal Large Language Models (MLLMs), featuring 24K multiple-choice questions with precise human annotations. It spans 27 evaluation dimensions, assessing both text and image generation.

Benchmark date: SEED-Bench was collected in November 2023.

Paper or resources for more information: https://github.com/AILab-CVC/SEED-Bench

License: Attribution-NonCommercial 4.0 International. It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use.

Data Sources:

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Where to send questions or comments about the benchmark: https://github.com/AILab-CVC/SEED-Bench/issues

Intended use

Primary intended uses: SEED-Bench-2 is primarily designed to evaluate Multimodal Large Language Models in text and image generation tasks.

Primary intended users: Researchers and enthusiasts in computer vision, natural language processing, machine learning, and artificial intelligence are the main target users of the benchmark.

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