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2023-11-27 3:52pm
v16
·
a year ago
2023-11-19 11:39pm
v13
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a year ago
2023-11-17 9:11am
v12
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a year ago
2023-11-15 6:00pm
v11
·
a year ago
Custom_v1
v8
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a year ago
2023-11-09 7:19pm
v6
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a year ago
2023-10-25 5:10pm
v2
·
a year ago
2023-10-25 3:52pm
v1
·
a year ago
v16

2023-11-27 3:52pm

Generated on Nov 27, 2023
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1621 Total Images

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Dataset Split

Train Set 88%
1422Images
Valid Set 8%
134Images
Test Set 4%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

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