Dataset Versions
v2
2024-04-22 1:55pm
Generated on Apr 22, 2024
625 Total Images
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Dataset Split
Train Set 96%
603Images
Valid Set 2%
10Images
Test Set 2%
12Images
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, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 0.1% of pixels
Mosaic: Applied