Dataset Versions

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

2023-10-25 7:33pm

Generated on Oct 25, 2023
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3680 Total Images

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Dataset Split

Train Set 83%
3048Images
Valid Set 13%
472Images
Test Set 4%
160Images

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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