Dataset Versions
Versions
v1
2023-03-25 4:02pm
Generated on Mar 25, 2023
397 Total Images
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Dataset Split
Train Set 87%
345Images
Valid Set 8%
33Images
Test Set 5%
19Images
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 10px
Noise: Up to 5% of pixels