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ai-challenge-trees's Introduction

AI Challenge Trees

Ciencia & Datos

Omdena

In this repo you'll find the learning resources for the "Identifying trees on satellite images" challenge from Omdena <> Ciencia & Datos.

Table of contents

No Folder name Content description
1 GANs This folder contains the work being done by team members from task 2 related to creating Generative Adversarial Networks (see its own README for further reference).
2 Worldview This folder needs further details.
3 enhancement This folder contains proposal code to ameliorate the images. This work is being done by team members from task 3.
4 imgs This folder is used to store sample or testing images for the different tasks. This folder is the default for images.
5 labels This folder contains the utility to parse the json format from label box. This is related to task 1 (teams 1 and 4).
6 mask_rcnn This folder contains the work being done by team members from task 4.
7 trees This folder contains samples images of trees. This is related to task 1.
8 unet This folder contains the work being done by team members from task 5.

ai-challenge-trees's People

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ai-challenge-trees's Issues

U-Net testing

Put the code altogether and make it work with the cropped images.

Image cropping

Crop images in order to have input images to test the initial implementation of U-Net.

Create conda environment file.

Create new conda environment file in order to install dependencies with Anaconda.

Name of the environment:

  • omdena

Channels to be added:

  • defaults
  • conda-forge

Dependencies:

  • python>=3.6
  • scipy
  • numpy
  • opencv
  • pandas
  • matplotlib
  • scikit-learn
  • tensorflow>=1.9.0
  • tensorflow-hub
  • tensorboard
  • graphviz
  • pydot
  • keras
  • h5py

Refactor utils.py

The file has grow to much, could be refactored into separate files and modules or into a more OOP way

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