A deep learning–based computer vision training pipeline for car damage detection using a Co-DETR learner enhanced with CBAM Attention, Hybrid Loss, and Albumentations. Trains on Colab to identify and localize car body defects such as scratches, dents, and rust. Includes end-to-end model training and quantitative evaluation.
computer-vision deep-learning colab coco car-damage-detector cbam albumentations car-damage-detection swin-transformer transformer-based-object-detection co-detr
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Updated
Apr 23, 2025 - Jupyter Notebook