Dataset Versions

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Versions
2023-11-16 4:30pm
v6
·
a year ago
2023-11-16 11:31am
v5
·
a year ago
2023-11-15 3:41pm
v4
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a year ago
2023-11-09 12:41am
v3
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a year ago
2023-10-27 3:22pm
v2
·
a year ago
2023-10-27 2:08pm
v1
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a year ago
v6

2023-11-16 4:30pm

Generated on Nov 16, 2023
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748 Total Images

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Dataset Split

Train Set 88%
657Images
Valid Set 8%
61Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 128x128

Augmentations

Outputs per training example: 3
Shear: ±0° Horizontal, ±28° Vertical
Saturation: Between -76% and +76%
Brightness: Between -48% and +48%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 6% of pixels

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