PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis

1. 1Develop computer vision models for pavement distress classification and detection
2. 2Integrate vision-language models for interactive analysis and decision support
3. 3Evaluate and fine-tune models using the PaveBench benchmark
4. 4Apply quantitative analysis and explanation techniques to improve model performance

Computer vision engineers and researchers on a team can benefit from PaveBench to improve pavement condition assessment, while product managers can utilize it to develop more effective road maintenance systems

💡 PaveBench provides a comprehensive framework for pavement condition assessment, combining computer vision and vision-language analysis for more accurate and informative results

🚧 Introducing PaveBench: a benchmark for pavement distress perception and interactive vision-language analysis 🚧