Dataset Versions
v2
2023-04-01 10:35am
Generated on Apr 1, 2023
1433 Total Images
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Dataset Split
Train Set 88%
1254Images
Valid Set 8%
119Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels