Dataset Versions

v1

2024-07-15 6:48am

Generated on Jul 15, 2024

Dataset Split

Train Set 100%
334Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Noise: Up to 0.1% of pixels