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Defects dection in SEM images by using advanced computer vision, Mask-RCNN

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Metal_defects_detection

Coworkers:

Hao Wen, Chang Huang

Objective:

Defects dection in SEM images by using advanced computer vision

Tool:

It adopts the CNN, YOLOv4 and Detectron2 as the main Engine.

The basic folder contents:

Each folder contains the data and codes for each model. Please change the data path when testing the codes.

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Defects dection in SEM images by using advanced computer vision, Mask-RCNN

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