Dataset Versions
Versions
v9
2022-08-23 2:11pm
Generated on Aug 23, 2022
4085 Total Images
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Dataset Split
Train Set 90%
3678Images
Valid Set 10%
407Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 50x50
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each