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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
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