Dataset Versions

v2

2024-06-26 3:09pm

Generated on Jun 26, 2024

Dataset Split

Train Set 100%
1659Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal
Crop: 0% Minimum Zoom, 76% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±19° Horizontal, ±18° Vertical
Grayscale: Apply to 15% of images
Hue: Between -36° and +36°
Saturation: Between -34% and +34%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels

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