Dataset Versions

Versions
2023-11-18 5:14pm
v8
·
a year ago
2023-11-18 5:13pm
v7
·
a year ago
2023-11-18 4:39pm
v6
·
a year ago
2023-11-18 4:28pm
v5
·
a year ago
2023-11-18 2:54pm
v4
·
a year ago
2023-11-17 11:43pm
v3
·
a year ago
2023-11-17 10:40pm
v2
·
a year ago
2023-09-26 6:02pm
v1
·
a year ago
v7

2023-11-18 5:13pm

Generated on Nov 18, 2023
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1224 Total Images

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Dataset Split

Train Set 88%
1077Images
Valid Set 8%
100Images
Test Set 4%
47Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%

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