#Defect-detection
Showing 7 of 7 repositories tagged #defect-detection, ranked by stars
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
👷胶囊表面缺陷检测withTensorflow,主要检测了凹陷和缺失部分,涉及到GPU加速
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
Detect Defects in Products from their Images using Amazon SageMaker
We use MixedWM38, the mixed-type wafer defect pattern dataset for wafer defect pattern regcognition with visual transformers.
Lithography defect prediction for microchip manufacturing optimization with machine learning model