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Object Detection

llll Image Dataset

v2

2022-09-22 2:42pm

Generated on Sep 22, 2022

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Dataset Split

Train Set 100%
42Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels