git clone https://github.com/crowdAI/mapping-challenge-starter-kit
cd mapping-challenge-starter-kit
pip install -r requirements.txt
Please download the datasets from https://www.crowdai.org/challenges/mapping-challenge/dataset_files, and untar them to have the following directory structure :
|-- data/
| |-- test_images/ (has all images for prediction)
| |-- train/
| | `-- images (has all the images for training)
| | |__ annotation.json : Annotation of the data in MS COCO format
| | |__ annotation-small.json : Smaller version of the "annotation.json"
| `-- val/
| | `-- images (has all the images for training)
| | |__ annotation.json : Annotation of the data in MS COCO format
| | |__ annotation-small.json : Smaller version of the "annotation.json"
Now you can refer to the list of Jupyter Notebooks for different aspects of the challenge and the datasets. You can access all of them by :
jupyter-notebook
-
Train Mask-RCNN :
Coming Soon
Sharada Mohanty sharada.mohanty@epfl.ch