Dataset Versions

v1

2022-09-22 11:01pm

Generated on Sep 22, 2022

Dataset Split

Train Set 88%
432Images
Valid Set 12%
59Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 550x550
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±23° Horizontal, ±18° Vertical
Brightness: Between 0% and +30%
Blur: Up to 2.5px
Noise: Up to 4% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Exposure: Between -13% and +13%

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