Dataset Versions

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2024-09-20 4:12am
v12
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2 months ago
2024-09-20 2:16am
v11
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2 months ago
2024-09-12 8:58am
v10
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2 months ago
2024-09-12 8:54am
v9
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2 months ago
2024-08-24 4:03pm
v8
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3 months ago
2024-08-24 1:08pm
v7
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3 months ago
2024-08-24 1:04pm
v6
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3 months ago
2024-08-23 2:48pm
v5
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3 months ago
2024-08-23 2:24pm
v4
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3 months ago
2024-08-22 2:39pm
v3
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3 months ago
2024-08-22 1:41pm
v2
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3 months ago
2024-08-21 6:08am
v1
·
3 months ago
v10

2024-09-12 8:58am

Generated on Sep 12, 2024
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2734 Total Images

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Dataset Split

Train Set 93%
2550Images
Valid Set 5%
125Images
Test Set 2%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 6% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.57% of pixels
Bounding Box: Noise: Up to 1.54% of pixels

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