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coco

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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.

  • Updated Jun 3, 2025
  • Jupyter Notebook

Real-time object detection in images and videos using YOLOv10 trained on Coco. Features automatic and manual model selection, annotated outputs, and easy API integration. Built primarily on Python, Flask, Tkinker, and Streamlit. Supports 243 languages for educating the masses through objects.

  • Updated Aug 16, 2024
  • Python

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