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Fine-tune Mask-RCNN on a customized beagle dataset

There is a total number of 100 beagle images in the dataset which I scraped from Google Image. 75 images are used for training and 25 images are used for validation.

I used VGG Image Annotator (VIA) to annotate the training and validation images.

Feel free to use the dataset and modify the code. The original code is adopted from mattport's Mask-RCNN repo.

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