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chandrabhuma/building_defect_vqa

Building Defect VQA Dataset Dataset Description This dataset is a Visual Question Answering (VQA) version of the original BD3 (Building Defect Dataset). It is designed for training and evaluating Vision–Language Models (VLMs) on building defect recognition tasks. Each image is paired with a fixed question and a defect category as the answer. Dataset Structure Each sample contains: image: RGB image of a building surface question: "What type of… See the full description on the dataset page: https://huggingface.co/datasets/chandrabhuma/building_defect_vqa.

sourceHugging Facecc-by-4.0updated 9mo agoView on Hugging Face
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