Dataset Versions

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Versions
2024-06-26 2:09pm
v9
·
5 months ago
2023-11-23 12:15pm
v8
·
a year ago
2023-11-22 12:45pm
v7
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a year ago
2023-09-29 9:08am
v6
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a year ago
2023-09-28 2:48pm
v5
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a year ago
2023-09-28 2:20pm
v4
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a year ago
2023-09-28 1:19pm
v3
·
a year ago
2023-09-28 11:14am
v2
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a year ago
rev1
v1
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a year ago
v4

2023-09-28 2:20pm

Generated on Sep 28, 2023
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1280 Total Images

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Dataset Split

Train Set 87%
1119Images
Valid Set 9%
109Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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