Dataset Versions

v1

2024-08-08 3:14am

Generated on Aug 8, 2024

Dataset Split

Train Set 88%
8850Images
Valid Set 8%
843Images
Test Set 4%
421Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 1.49% of pixels

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