Dataset Versions

v1

2024-07-30 9:23am

Generated on Jul 30, 2024

Dataset Split

Train Set 88%
9660Images
Valid Set 8%
920Images
Test Set 4%
460Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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