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defect-detection-opencv

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MadsDoodle / Prompted-Image-Segmentation-for-Drywall-Quality-Assessment

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AI-powered prompted image segmentation for drywall inspection using Grounded-SAM and CLIP-conditioned UNet (crack detection & taping area segmentation). Given an input image and a natural language prompt, the system produces a binary segmentation mask corresponding to the region described by the prompt.

computer-vision deep-learning pytorch image-segmentation clip resnet-50 zero-shot-learning imagenet-classification defect-detection-opencv vision-language-model segment-anything grounding-dino multimodal-ai
  • Updated Apr 11, 2026
  • Jupyter Notebook

Latchan-Ch / DDV-GNet-Space

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Official PyTorch implementation of DDV-GNet: A real-time (853 FPS) gated convolutional neural network for real-time aerospace defect detection.

machine-learning quality-control computer-vision deep-learning space aerospace pytorch ieee convolutional-neural-networks satellite-imagery anomaly-detection defect-detection efficient-neural-networks defect-detection-opencv real-time-inference industrial-vision space-manufacturing deep-delta-learning gated-networks
  • Updated Mar 3, 2026
  • Jupyter Notebook

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