Dataset Versions

v6

2024-08-20 5:16am

Generated on Aug 20, 2024

Dataset Split

Train Set 85%
144Images
Valid Set 15%
25Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 100% of images
Hue: Between -80° and +80°
Brightness: Between -47% and +47%
Blur: Up to 1px
Noise: Up to 4.97% of pixels

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