Dataset Versions
v2
2023-10-22 10:36pm
Generated on Oct 23, 2023
502 Total Images
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Dataset Split
Train Set 82%
414Images
Valid Set 12%
59Images
Test Set 6%
29Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1% of pixels