sedat

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Object Detection

all Image Dataset

v1

all

Generated on Feb 21, 2022

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Dataset Split

Train Set 96%
2193Images
Valid Set 2%
40Images
Test Set 2%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Saturation: Between -40% and +40%
Brightness: Between -38% and +38%
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