Dataset Versions
v2
2021-08-20-4:28pm
Generated on Aug 20, 2021
1440 Total Images
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Dataset Split
Train Set 88%
1260Images
Valid Set 8%
120Images
Test Set 4%
60Images
Preprocessing
Auto-Orient: Applied
Static Crop: 16-96% Horizontal Region, 15-82% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
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%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied