Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
| license: cc-by-3.0 | |
| task_categories: | |
| - visual-question-answering | |
| language: | |
| - en | |
| tags: | |
| - vision-language | |
| - benchmark | |
| - domain-specific | |
| pretty_name: DomainBench | |
| size_categories: | |
| - 10K<n<100K | |
| # DomainBench | |
| DomainBench is a comprehensive benchmark for evaluating vision-language models across different domains. | |
| ## Dataset Structure | |
| The benchmark consists of 7 domain-specific datasets: | |
| - Animals | |
| - Food | |
| - Kitchen | |
| - KITTI | |
| - Person | |
| - Vehicles | |
| - Wildlife | |
| Each domain contains: | |
| - Images folder with visual content | |
| - Question-answer pairs in JSON format | |
| ## Tasks | |
| The benchmark includes various visual reasoning tasks: | |
| 1. Object Detection | |
| 2. Spatial Relationships | |
| 3. Color Analysis | |
| 4. Depth Perception | |
| 5. Object Interaction | |
| 6. Puzzle Solving | |
| 7. Image Variant Analysis | |
| 8. Object Condition Analysis | |