Dataset Versions

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2024-01-28 4:52pm
v7
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a year ago
2023-11-09 1:28am
v6
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a year ago
2023-10-31 1:36pm
v5
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a year ago
2023-10-28 9:20pm
v4
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a year ago
2023-10-28 1:24am
v3
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a year ago
2023-10-27 11:49pm
v2
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a year ago
2023-10-27 9:27pm
v1
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a year ago
v4

2023-10-28 9:20pm

Generated on Oct 28, 2023
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44 Total Images

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Dataset Split

Train Set 89%
39Images
Valid Set 7%
3Images
Test Set 5%
2Images

Preprocessing

Auto-Orient: Applied
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
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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