Dataset Versions

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Versions
2023-08-20 12:21am
v6
·
a year ago
2023-08-19 7:39pm
v5
·
a year ago
2023-08-19 7:12pm
v4
·
a year ago
2023-08-19 7:10pm
v3
·
a year ago
2023-08-17 10:55pm
v2
·
a year ago
2023-08-17 6:34pm
v1
·
a year ago
v4

2023-08-19 7:12pm

Generated on Aug 19, 2023
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164 Total Images

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Dataset Split

Train Set 95%
156Images
Valid Set 3%
5Images
Test Set 2%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 23% of images
Saturation: Between -17% and +17%
Blur: Up to 2.5px
Noise: Up to 9% of pixels

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