Dataset Versions
v1
2023-02-08 1:37pm
Generated on Feb 8, 2023
985 Total Images
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Dataset Split
Train Set 94%
930Images
Valid Set 4%
37Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -38° and +38°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Mosaic: Applied