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VVQNN/PaveBench

PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis Abstract PaveBench is a large-scale benchmark for pavement distress perception and interactive vision-language analysis on real-world highway inspection images. It supports four core tasks: classification, object detection, semantic segmentation, and vision-language question answering. On the visual side, PaveBench provides large-scale annotations on… See the full description on the dataset page: https://huggingface.co/datasets/VVQNN/PaveBench.

Author / organizationVVQNN
License (as declared)cc-by-nc-sa-4.0
Downloads556 (as reported by Hugging Face)
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Created6 July 2026
Last updated at source6 July 2026
computer-visionvision-languagevisual-question-answeringimage-segmentationobject-detectionimage-classificationmultimodal-learningbenchmark
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