Dataset Versions

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Versions
2023-09-23 12:23am
v9
·
a year ago
2023-09-23 12:21am
v8
·
a year ago
2023-09-03 3:06am
v7
·
a year ago
2023-08-27 1:33am
v6
·
a year ago
colour version
v5
·
2 years ago
BW version
v4
·
2 years ago
2023-03-17 2:33pm
v3
·
2 years ago
2023-03-07 1:46pm
v2
·
2 years ago
2023-01-31 4:15pm
v1
·
2 years ago
v7

2023-09-03 3:06am

Generated on Sep 3, 2023
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Dataset Split

Train Set 85%
405Images
Valid Set 9%
42Images
Test Set 6%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 227x227
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Brightness: Between -38% and +38%
Exposure: Between -26% and +26%
Blur: Up to 1.75px

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