Dataset Versions
v2
2023-11-04 5:11pm
Generated on Nov 4, 2023
278 Total Images
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Dataset Split
Train Set 90%
249Images
Valid Set 9%
24Images
Test Set 2%
5Images
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
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Blur: Up to 2.5px
Noise: Up to 5% of pixels