Dataset Versions

Versions
2024-03-28 1:09pm
v12
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8 months ago
2024-03-28 12:57pm
v11
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8 months ago
2024-03-27 11:20am
v10
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8 months ago
2024-03-27 9:45am
v9
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8 months ago
2024-03-24 1:04pm
v8
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8 months ago
2024-03-24 12:57pm
v7
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8 months ago
2024-03-22 9:36am
v6
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8 months ago
2024-03-22 9:27am
v5
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8 months ago
2024-03-21 3:30pm
v4
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8 months ago
2024-03-21 3:24pm
v3
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8 months ago
2024-03-21 2:18pm
v2
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8 months ago
2024-03-21 1:51pm
v1
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8 months ago
v3

2024-03-21 3:24pm

Generated on Mar 21, 2024
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386 Total Images

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Dataset Split

Train Set 89%
345Images
Valid Set 6%
25Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -18° and +18°
Saturation: Between -22% and +22%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%

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