Dataset Versions

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Versions
2024-01-06 12:19pm
v6
·
a year ago
2023-12-26 5:05am
v5
·
a year ago
2023-12-25 4:03am
v4
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a year ago
2023-12-23 6:05am
v3
·
a year ago
2023-12-18 10:44am
v2
·
a year ago
2023-12-18 10:35am
v1
·
a year ago
v2

2023-12-18 10:44am

Generated on Dec 18, 2023
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140 Total Images

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Dataset Split

Train Set 96%
135Images
Valid Set 1%
2Images
Test Set 2%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 8% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom
Bounding Box: Noise: Up to 5% of pixels

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