Dataset Versions
v5
2024-10-10 3:17am
Generated on Oct 10, 2024
837 Total Images
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Dataset Split
Train Set 88%
735Images
Valid Set 8%
66Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Static Crop: 21-75% Horizontal Region, 22-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 23% of images
Saturation: Between -31% and +31%
Blur: Up to 2.6px
Noise: Up to 1.8% of pixels