Dataset Versions
v2
2024-03-26 2:41pm
Generated on Mar 26, 2024
4627 Total Images
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Dataset Split
Train Set 97%
4494Images
Valid Set 2%
89Images
Test Set 1%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.84% of pixels