wallyYOLOv4 Dataset

v1

waldo

Generated on Dec 6, 2021

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Dataset Split

Train Set 89%
24192Images
Valid Set 7%
1984Images
Test Set 4%
1024Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 8 rows x 8 columns

Augmentations

Outputs per training example: 3
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%