Dataset Versions

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Versions
2023-06-04 8:59pm
v8
·
2 years ago
2023-05-31 10:26pm
v7
·
2 years ago
2023-05-31 10:19pm
v6
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2 years ago
2023-05-28 11:54am
v5
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2 years ago
2023-05-28 11:50am
v4
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2 years ago
2023-05-22 8:22pm
v3
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2 years ago
2023-05-22 8:03pm
v2
·
2 years ago
2023-05-22 4:47pm
v1
·
2 years ago
v7

2023-05-31 10:26pm

Generated on May 31, 2023
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3220 Total Images

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Dataset Split

Train Set 93%
3000Images
Valid Set 5%
150Images
Test Set 2%
70Images

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 -24° and +24°
Saturation: Between -25% and +25%
Noise: Up to 2% of pixels

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