Dataset Versions
v1
2023-01-22 6:47pm
Generated on Jan 23, 2023
344 Total Images
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Dataset Split
Train Set 87%
300Images
Valid Set 8%
28Images
Test Set 5%
16Images
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, 10% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each