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> python3 main.py --images ../Videos/20231006_144024_tp00003/output/images/ --labels ../Videos/20231006_144024_tp00003/output/labels/ --output input --nprocess 2 splitfolders --ratio .8 .1 .1 -- input/