Dataset Versions

Versions
2024-12-16 5:12pm
v9
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3 days ago
2024-12-16 5:02pm
v8
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3 days ago
2024-12-13 1:17pm
v7
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6 days ago
2024-12-02 8:31pm
v6
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17 days ago
2024-11-29 5:03pm
v5
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20 days ago
2024-11-29 4:45pm
v4
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20 days ago
2024-11-29 4:12pm
v3
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20 days ago
2024-11-29 3:50pm
v2
·
20 days ago
2024-11-29 3:46pm
v1
·
20 days ago
v5

2024-11-29 5:03pm

Generated on Nov 29, 2024
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1045 Total Images

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Dataset Split

Train Set 87%
912Images
Valid Set 8%
87Images
Test Set 4%
46Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px

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