Instance Segmentation using Mask R-CNN

Training the model

1. Download/fork Matterport's Mask R-CNN.
2. Download the training images and divide them into train and validation set.
3. To start training, open terminal in the folder and write python3 WBC.py train --dataset=WBC --weights=coco

References

1. https://github.com/matterport/Mask_RCNN
2. https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46
3. https://www.pyimagesearch.com/2019/06/10/keras-mask-r-cnn/
4. https://towardsdatascience.com/computer-vision-instance-segmentation-with-mask-r-cnn-7983502fcad1
5. https://towardsdatascience.com/instance-segmentation-using-mask-r-cnn-7f77bdd46abd