Identifying thatch-roofed houses for disaster planning in rural Malawi using aerial images
- Over 80% of Malawi's population resides in rural areas.
- Natural disasters and global challenges like Covid-19 affect these communities.
- Current damage assessment methods overlook crucial data, such as identifying houses with grass-thatched roofs.
- This competition leverages machine learning on aerial imagery to accurately count these structures.
python -m venv venv
source /venv/bin/activate
pip install -r requirements.txt
python resize_images.py
python prepare_data.py
python data_aug.py
python trainYolo.py
You can download the dataset from here
