Dataset Versions

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2024-11-03 2:32am
v14
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15 days ago
2024-11-03 2:30am
v13
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15 days ago
2024-11-03 2:26am
v12
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15 days ago
2024-11-03 2:20am
v11
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15 days ago
2024-11-03 2:16am
v10
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15 days ago
2024-11-03 2:07am
v9
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15 days ago
2024-10-07 2:59pm
v8
·
a month ago
2024-10-07 2:48pm
v7
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a month ago
2024-10-07 2:42pm
v6
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a month ago
2024-10-03 2:54pm
v5
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a month ago
2024-10-02 7:37pm
v4
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2 months ago
2024-10-02 7:37pm
v3
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2 months ago
2024-09-29 8:52pm
v2
·
2 months ago
2024-09-29 8:49pm
v1
·
2 months ago
v1

2024-09-29 8:49pm

Generated on Sep 29, 2024
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117 Total Images

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Dataset Split

Train Set 87%
102Images
Valid Set 9%
10Images
Test Set 4%
5Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±13° Horizontal, ±10° Vertical
Grayscale: Apply to 23% of images
Hue: Between -17° and +17°
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Blur: Up to 2.5px
Noise: Up to 9.12% of pixels
Cutout: 11 boxes with 21% size each

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