saraivaufc / instance-segmentation-maskrcnn

Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network

This is an implementation of instance segmentation of center pivot irrigation systems using Mask R-CNN on Python 3, Keras, TensorFlow and free Landsat images.

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 ResNet50 backbone.

Some results

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

instance-segmentation-maskrcnn's Issues

Data for the project

This project looks great! Where can i get the data used for train/test?