Dataset Versions
v4
2023-09-04 1:45pm
Generated on Sep 4, 2023
1999 Total Images
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Dataset Split
Train Set 87%
1734Images
Valid Set 9%
170Images
Test Set 5%
95Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -146° and +146°
Saturation: Between -73% and +73%
Brightness: Between -66% and +66%
Exposure: Between -22% and +22%
Blur: Up to 1.75px
Noise: Up to 22% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 25px