Dataset Versions

v1

2024-04-16 10:40pm

Generated on Apr 16, 2024

Dataset Split

Train Set 86%
210Images
Valid Set 8%
20Images
Test Set 5%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.69% of pixels

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