Dataset Versions
v2
2023-06-19 12:13pm
Generated on Jun 19, 2023
10164 Total Images
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Dataset Split
Train Set 89%
9063Images
Valid Set 7%
680Images
Test Set 4%
421Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Grayscale: Apply to 100% of images
Hue: Between -32° and +32°
Brightness: Between -15% and +15%
Blur: Up to 0.75px
Noise: Up to 24% of pixels