Dataset Versions
v5
2023-09-29 3:12pm
Generated on Sep 29, 2023
180 Total Images
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Dataset Split
Train Set 85%
153Images
Valid Set 9%
17Images
Test Set 6%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Shear: ±17° Horizontal, ±23° Vertical
Grayscale: Apply to 50% of images
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -48% and +48%
Exposure: Between -19% and +19%
Blur: Up to 1.75px
Noise: Up to 11% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 11.75px