Mask R-CNN for Object Detection and Segmentation

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

The repository includes:

• Source code of Mask R-CNN built on FPN and ResNet101.
• Training code for DeepFashion2

Getting Started

• Download and extract DeepFashion2 dataset

• MASK_RCNN_DeepFashion2.ipynb Is the easiest way to start. It shows an example of training the model as well as using it afterwards