Pinned Repositories
NEU-DET
steel-surface-defect-detection
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOX_pytorch
YOYOF-in-defect-detection
The first to adopt the YOLOF model on a metal defect NEU-DET dataset. Using several image preprocessing methods, including Edge Detection, Denoising, Sharpening, and SR, were experimented on the metal defect NEU-DET dataset. In the proposed optimized batch size, backbone, soft efficient non-maximum sup-pression (Soft-NMS), and threshold of YOLO.
Hahahdamowang's Repositories
Hahahdamowang/NEU-DET
Hahahdamowang/steel-surface-defect-detection
Hahahdamowang/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Hahahdamowang/YOLOX_pytorch
Hahahdamowang/YOYOF-in-defect-detection
The first to adopt the YOLOF model on a metal defect NEU-DET dataset. Using several image preprocessing methods, including Edge Detection, Denoising, Sharpening, and SR, were experimented on the metal defect NEU-DET dataset. In the proposed optimized batch size, backbone, soft efficient non-maximum sup-pression (Soft-NMS), and threshold of YOLO.