Dataset Versions

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Versions
2024-05-17 10:18am
v4
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6 months ago
2024-05-12 6:04pm
v3
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6 months ago
2024-05-12 2:01pm
v2
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6 months ago
2024-05-11 10:55pm
v1
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6 months ago
v3

2024-05-12 6:04pm

Generated on May 12, 2024
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1300 Total Images

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Dataset Split

Train Set 92%
1200Images
Valid Set 4%
50Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%

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