Dataset Versions

Versions
2024-09-22 10:58pm
v5
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2 months ago
2024-09-22 8:52pm
v4
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2 months ago
2024-09-22 7:07pm
v3
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2 months ago
2024-09-22 6:34pm
v2
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2 months ago
2024-09-22 6:21pm
v1
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2 months ago
v2

2024-09-22 6:34pm

Generated on Sep 22, 2024
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Dataset Split

Train Set 92%
240Images
Valid Set 4%
10Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -30° and +30°
Saturation: Between -25% and +25%

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