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2022-12-19 10:53am
v1
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2 years ago
v1

2022-12-19 10:53am

Generated on Dec 19, 2022
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275 Total Images

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Dataset Split

Train Set 82%
225Images
Valid Set 9%
25Images
Test Set 9%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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