AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models

1. 1Identify the limitations of current evaluation protocols for vision foundation models
2. 2Develop a benchmark that targets specific atomic visual abilities
3. 3Evaluate vision foundation models using AVA-Bench to identify areas for improvement
4. 4Analyze the results to inform instruction tuning data and improve model performance

AI engineers and researchers working on vision foundation models can benefit from AVA-Bench to systematically evaluate their models, while data scientists can use it to identify areas for improvement

💡 AVA-Bench helps identify the strengths and weaknesses of vision foundation models, enabling more effective instruction tuning and improved performance

🔍 Introducing AVA-Bench: a benchmark for evaluating vision foundation models' atomic visual abilities