Dataset Versions
v3
version_to_use
Generated on Sep 30, 2023
264 Total Images
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Dataset Split
Train Set 82%
216Images
Valid Set 13%
34Images
Test Set 5%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 77% of images
Hue: Between -180° and +180°
Saturation: Between -85% and +85%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4.25px
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical