Dataset Versions

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Versions
2023-12-05 6:29pm
v11
·
a year ago
2023-12-05 10:24am
v10
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a year ago
2023-11-24 2:10am
v9
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a year ago
2023-11-10 11:02am
v7
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a year ago
2023-11-08 8:59pm
v6
·
a year ago
2023-09-26 1:26pm
v2
·
a year ago
2023-09-20 11:19am
v1
·
a year ago
v1

2023-09-20 11:19am

Generated on Sep 20, 2023
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933 Total Images

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Dataset Split

Train Set 87%
816Images
Valid Set 8%
78Images
Test Set 4%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

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

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