Coconut Trees Detection and Segmentation

This repo provided supplementary material for our paper Coconut Trees Detection and Segmentationin Aerial Imagery using Mask R-CNN - published in IET Computer Vision.

Status Update - December 2020 April 2021:

The paper is accepted for publication published in IET Computer Vision. Here is the link !https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.12028

You can cite the paper as:

Muhammad Shakaib Iqbal, Hazrat Ali*, Son N. Tran, Talha Iqbal, Coconut Trees Detection and Segmentation in Aerial Imagery using mask region-based convolution neural network, IET Computer Vision, 09 April 2021.
doi: 10.1049/cvi2.12028  

Or you may use the bibtext entry:

@article{iqbal2021coconut,
  title={Coconut trees detection and segmentation in aerial imagery using mask region-based convolution neural network},
  author={Iqbal, Muhammad Shakaib and Ali, Hazrat and Tran, Son N and Iqbal, Talha},
  journal={IET Computer Vision},
  month={April},
  year={2021}
}

The following images are provided as a sample output on the coconut trees detection task. The repository will be updated and necessary code will be provided to the user for their own tasks on trees detection. The work in this repo borrows the Mask R-CNN code from https://github.com/matterport/Mask_RCNN

The output images are placed in detection and segmentation folders.

Youtube demo

Click on the image to play in youtube

Note

Use of the images in this repo is not allowed without permission.