Dataset Versions
v2
2023-09-26 1:26pm
Generated on Sep 26, 2023
1975 Total Images
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Dataset Split
Train Set 87%
1728Images
Valid Set 8%
165Images
Test Set 4%
82Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Noise: Up to 5% of pixels