Dataset Versions

v1

2022-12-06 9:15pm

Generated on Dec 6, 2022

Dataset Split

Train Set 81%
150Images
Valid Set 9%
17Images
Test Set 10%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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