Dataset Versions
v3
2024-04-22 1:51pm
Generated on Apr 22, 2024
784 Total Images
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Dataset Split
Train Set 97%
762Images
Valid Set 1%
11Images
Test Set 1%
11Images
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
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels
Mosaic: Applied