Dataset Versions

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Versions
2023-11-27 12:23pm
v6
·
a year ago
2023-11-27 11:24am
v5
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a year ago
2023-11-23 10:10am
v4
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a year ago
2023-11-23 8:58am
v3
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a year ago
2023-11-22 11:12am
v2
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a year ago
2023-11-21 6:35pm
v1
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a year ago
v2

2023-11-22 11:12am

Generated on Nov 22, 2023
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Dataset Split

Train Set 88%
210Images
Valid Set 8%
19Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images

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