Dataset Versions

Versions
2024-02-27 1:21pm
v9
·
10 months ago
2024-02-21 3:32pm
v8
·
a year ago
2024-02-16 3:52pm
v7
·
a year ago
2024-02-08 4:50pm
v6
·
a year ago
2024-02-08 4:48pm
v5
·
a year ago
2024-02-07 4:23pm
v4
·
a year ago
2024-02-01 4:30pm
v3
·
a year ago
2024-01-25 11:25am
v2
·
a year ago
2024-01-24 7:03pm
v1
·
a year ago
v5

2024-02-08 4:48pm

Generated on Feb 9, 2024
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875 Total Images

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Dataset Split

Train Set 87%
765Images
Valid Set 8%
73Images
Test Set 4%
37Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 10% of pixels

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