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Steel_-Defect_Detection

Defect detection and masking model for Steel Microstructure

Used on Severstal Steel Dataset on Kaggle

Mask RCNN Model Create a virtual environment and install packages from requirements.txt

Use mask_rcnn_coco.h5 file for pretrained weights

Train command - python met_defect_Mask_RCNN.py train --dataset=train_1.csv --subset=train --weights=coco

Detect command - python met_defect_Mask_RCNN.py detect --dataset=/path/to/dataset --subset=train --weights=<last or /path/to/weights.h5

UNet model

Run command - python met_defect_UNET.py

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Defect detection and masking model for Steel Microstructure using Mask RCNN and UNet Segmentation

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