Dataset Versions

v6

2024-10-20 9:18am

Generated on Oct 20, 2024

Dataset Split

Train Set 87%
3765Images
Valid Set 12%
515Images
Test Set 1%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±13° Horizontal, ±13° Vertical
Grayscale: Apply to 15% of images
Hue: Between -90° and +90°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%

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