Dataset Versions

v4

2024-03-13 4:04pm

Generated on Mar 13, 2024

Dataset Split

Train Set 82%
309Images
Valid Set 13%
50Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 1.56% of pixels

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