Dataset Versions

Versions
2023-10-25 9:13pm
v10
·
a year ago
2023-10-25 9:12pm
v9
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a year ago
2023-10-25 9:10pm
v8
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a year ago
2023-10-25 9:01pm
v7
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a year ago
2023-10-25 8:57pm
v6
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a year ago
2023-10-25 8:54pm
v5
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a year ago
2023-10-25 8:50pm
v4
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a year ago
2023-10-25 8:43pm
v3
·
a year ago
2023-10-25 7:33pm
v2
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a year ago
2023-10-25 7:30pm
v1
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a year ago
v10

2023-10-25 9:13pm

Generated on Oct 25, 2023
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3091 Total Images

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Dataset Split

Train Set 80%
2478Images
Valid Set 14%
422Images
Test Set 6%
191Images

Preprocessing

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

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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