Dataset Versions

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Versions
2024-07-17 8:13pm
v7
·
4 months ago
2023-09-18 8:45am
v6
·
a year ago
2023-09-17 8:32pm
v5
·
a year ago
2023-08-02 3:09pm
v4
·
a year ago
2023-08-02 2:45pm
v2
·
a year ago
2023-07-13 8:10pm
v1
·
a year ago
v5

2023-09-17 8:32pm

Generated on Sep 17, 2023
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2600 Total Images

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Dataset Split

Train Set 92%
2400Images
Valid Set 4%
100Images
Test Set 4%
100Images

Preprocessing

Resize: Stretch to 352x352

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px

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