Dataset Versions

Versions
2023-09-25 2:49pm
v5
·
a year ago
2023-09-22 2:38pm
v4
·
a year ago
2023-09-21 10:32pm
v3
·
a year ago
2023-09-21 7:24pm
v2
·
a year ago
2023-09-21 7:21pm
v1
·
a year ago
v5

2023-09-25 2:49pm

Generated on Sep 25, 2023
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2190 Total Images

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Dataset Split

Train Set 96%
2112Images
Valid Set 4%
78Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -35% and +35%
Brightness: Between -35% and +35%
Blur: Up to 5px
Noise: Up to 5% of pixels

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