Dataset Versions

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Versions
2024-03-05 9:15pm
v10
·
8 months ago
2024-03-05 3:06pm
v9
·
8 months ago
2024-03-04 8:42pm
v8
·
8 months ago
2024-02-09 5:34pm
v7
·
9 months ago
2024-02-08 10:56pm
v6
·
9 months ago
2024-02-07 10:27pm
v5
·
9 months ago
2024-01-10 2:43pm
v4
·
10 months ago
2023-10-13 3:46pm
v2
·
a year ago
2023-09-28 3:25pm
v1
·
a year ago
v4

2024-01-10 2:43pm

Generated on Jan 10, 2024
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705 Total Images

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Dataset Split

Train Set 89%
624Images
Valid Set 7%
52Images
Test Set 4%
29Images

Preprocessing

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

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1px
Noise: Up to 5% of pixels

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