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pt002

Classification

pt002 Image Dataset

Versions
2022-07-08 4:08pm
v1
Jul 8, 2022
v1

2022-07-08 4:08pm

Generated on Jul 8, 2022
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75 Total Images

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Dataset Split

Train Set 100%
75Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%