Dataset Versions
v1
2022-10-27 2:40pm
Generated on Oct 27, 2022
1316 Total Images
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Dataset Split
Train Set 91%
1200Images
Valid Set 7%
96Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 1024x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 6.25px
Noise: Up to 5% of pixels