Dataset Versions

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Versions
2023-10-19 5:07am
v10
·
a year ago
2023-10-19 5:05am
v9
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a year ago
2023-10-19 5:02am
v8
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a year ago
2023-10-19 4:54am
v7
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a year ago
2023-10-19 4:48am
v6
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a year ago
2023-10-19 12:01am
v5
·
a year ago
2023-10-08 12:29pm
v3
·
a year ago
2023-10-08 12:14pm
v1
·
a year ago
v3

2023-10-08 12:29pm

Generated on Oct 8, 2023
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4820 Total Images

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Dataset Split

Train Set 88%
4218Images
Valid Set 8%
401Images
Test Set 4%
201Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

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%
Noise: Up to 5% of pixels

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