Dataset Versions

v7

2024-06-14 9:53am

Generated on Jun 14, 2024

Dataset Split

Train Set 92%
219Images
Valid Set 8%
19Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.96% of pixels