CUDAOUTOFMEMORY/MMD-Bench
MMD-Bench: Multimodal Model Degradation Benchmark MMD-Bench is a comprehensive benchmark for evaluating vision-language models (VLMs) under various image degradation conditions. It covers 16 corruption types across 4 categories at 3 severity levels, applied to 6 widely-used VLM benchmarks. Part of the CLEAR project. [Paper] | [Code] | [Model] Overview Existing VLM benchmarks assume clean, high-quality images. In real-world scenarios, images often suffer from… See the full description on the dataset page: https://huggingface.co/datasets/CUDAOUTOFMEMORY/MMD-Bench.
| Author / organization | CUDAOUTOFMEMORY |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 326 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 April 2026 |
| Last updated at source | 9 April 2026 |
Recent changes
- 16 Oct 2026 Description: MMD-Bench: Multimodal Model Degradation Benchmark MMD-Bench is a comprehensive benchmark for evaluating vision-language models (VLMs) under various image degradation conditions. It covers 16 corruption types across 4 categories at 3 severit → MMD-Bench: Multimodal Model Degradation Benchmark MMD-Bench is a comprehensive benchmark for evaluating vision-language models (VLMs) under various image degradation conditions. It covers 16 corruption types across 4 categories at 3 severit
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