Dataset Versions

Versions
2023-10-15 4:15pm
v13
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a year ago
2023-10-15 2:29pm
v12
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a year ago
2023-10-15 10:55am
v11
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a year ago
2023-10-15 2:12am
v10
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a year ago
2023-10-14 6:55pm
v9
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a year ago
2023-10-10 9:12pm
v8
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a year ago
2023-10-10 12:04am
v7
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a year ago
2023-10-10 12:03am
v6
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a year ago
2023-10-09 10:34pm
v5
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a year ago
2023-10-09 9:12pm
v3
·
a year ago
2023-10-09 8:43pm
v2
·
a year ago
2023-10-09 7:14pm
v1
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a year ago
v2

2023-10-09 8:43pm

Generated on Oct 9, 2023
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95 Total Images

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Dataset Split

Train Set 88%
84Images
Valid Set 8%
8Images
Test Set 3%
3Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Shear: ±30° Horizontal, ±30° Vertical
Blur: Up to 2.5px
Cutout: 5 boxes with 10% size each

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