Dataset Versions
v3
2024-04-07 9:07am
Generated on Apr 7, 2024
1491 Total Images
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Dataset Split
Train Set 95%
1410Images
Valid Set 4%
56Images
Test Set 2%
25Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±40° Horizontal, ±40° Vertical
Hue: Between -24° and +24°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.14% of pixels