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YOLO Dataset tiling script

Tile (slice) YOLO Dataset for Small Objects Detection

This script can cut images and corresponding labels from YOLO dataset into tiles of specified size and create a new datased based on these tiles. More details you can find in the article.

Usage

python3 tyle_yolo.py -source ./yolosample/ts/ -target ./yolosliced/ts/ -ext .JPG -size 512

Arguments

  • -source Source folder with images and labels needed to be tiled. Default: ./yolosample/ts/
  • -target Target folder for a new sliced dataset. Default: ./yolosliced/ts/
  • -ext Image extension in a dataset. Default: .JPG
  • -falsefolder Folder for tiles without bounding boxes
  • -size Size of a tile. Default: 416
  • -ratio Train/test split ratio. Dafault: 0.8