Starter kit for getting started in the crowdAI Mapping Challenge
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README.md

mapping-challenge-starter-kit

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Installation

git clone https://github.com/crowdAI/mapping-challenge-starter-kit
cd mapping-challenge-starter-kit
pip install -r requirements.txt

Dataset

Please download the datasets from https://www.crowdai.org/challenges/mapping-challenge/dataset_files, and put them in the data/ folder. Untar them (this might take some time) 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"

Usage

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

Available Notebooks

Miscelaneous Resources

Acknowledgements

A big shout out to our awesome community members @MasterScat (Florian Laurent), Snigdha Dagar, and Iuliana Voinea, for their help in preparing the datasets and designing the challenge.

Author

Sharada Mohanty sharada.mohanty@epfl.ch