Dataset Versions
Versions
v1
2023-08-01 7:41pm
Generated on Aug 1, 2023
6050 Total Images
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Dataset Split
Train Set 88%
5295Images
Valid Set 8%
505Images
Test Set 4%
250Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 64x64
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -15% and +15%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 5% of pixels