Dataset Versions

Versions
2023-04-29 5:01pm
v8
·
2 years ago
2023-04-29 4:28pm
v7
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2 years ago
2023-04-29 3:53pm
v6
·
2 years ago
2023-04-29 3:32pm
v5
·
2 years ago
2023-04-28 3:43pm
v4
·
2 years ago
2023-04-26 11:58am
v3
·
2 years ago
2023-04-26 11:46am
v2
·
2 years ago
2023-04-26 9:58am
v1
·
2 years ago
v4

2023-04-28 3:43pm

Generated on Apr 28, 2023
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Dataset Split

Train Set 88%
36Images
Valid Set 7%
3Images
Test Set 5%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3.25px
Noise: Up to 5% of pixels

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