Dataset Versions

v2

2024-09-07 12:02am

Generated on Sep 7, 2024

Dataset Split

Train Set 91%
9600Images
Valid Set 3%
346Images
Test Set 6%
580Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 1.29% of pixels

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