Dataset Versions
Versions
v1
2024-08-02 10:17am
Generated on Aug 2, 2024
1410 Total Images
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Dataset Split
Train Set 84%
1191Images
Valid Set 9%
122Images
Test Set 7%
97Images
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, 30% Maximum Zoom
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 4.7px
Noise: Up to 1.76% of pixels