Dataset Versions

Versions
2024-02-01 4:55pm
v3
·
10 months ago
2024-01-28 4:37pm
v2
·
10 months ago
2024-01-28 4:37pm
v1
·
10 months ago
v3

2024-02-01 4:55pm

Generated on Feb 1, 2024
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13047 Total Images

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Dataset Split

Train Set 92%
12050Images
Valid Set 8%
997Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%

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