Dataset Versions
v8
2024-03-21 6:29pm
Generated on Mar 21, 2024
590 Total Images
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Dataset Split
Train Set 66%
390Images
Valid Set %
0Images
Test Set 34%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Noise: Up to 0.1% of pixels