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Monitor-test

Classification

Monitor-test Image Dataset

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Versions
2023-05-27 11:02pm
v7
May 27, 2023
2023-05-27 11:02pm
v6
May 27, 2023
2023-05-27 11:02pm
v5
May 27, 2023
2023-05-27 11:02pm
v4
May 27, 2023
2023-05-27 11:02pm
v3
May 27, 2023
2023-05-27 11:02pm
v2
May 27, 2023
2023-05-27 10:59pm
v1
May 27, 2023
v7

2023-05-27 11:02pm

Generated on May 27, 2023
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5805 Total Images

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Dataset Split

Train Set 87%
5079Images
Valid Set 8%
484Images
Test Set 4%
242Images

Preprocessing

Auto-Orient: Applied
Static Crop: 8-95% Horizontal Region, 17-98% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -3° and +3°
Brightness: Between -39% and +39%
Blur: Up to 0.25px