Dataset Versions

v1

2022-08-02 1:17pm

Generated on Aug 2, 2022

Dataset Split

Train Set 100%
2010Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -89° and +89°
Saturation: Between -49% and +49%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 5% size each

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