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
v4

2024-02-07 4:23pm

Generated on Feb 8, 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
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -17° and +17°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1.7px
Noise: Up to 1.89% of pixels

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