Data Augmentation on YOLO

Data augmentation techniques:

• Translation *
• Cropping
• Noise *
• Brightness *
• Contrast *
• Saturation *
• Gaussian blur *

Build virtual environment:

python -m venv ./venv
source ./venv/bin/activate
pip install -r requirements.txt

Run

python3 main.py --images <IMAGES_FOLDER> --labels <LABELS_FOLDER> 
--output <OUTPUT_FOLDER> --nprocess <NUMBER_OF_AUGMENTED_IMAGES>