Dataset Versions

v3

2024-05-31 10:54pm

Generated on May 31, 2024

Dataset Split

Train Set 88%
108Images
Valid Set 8%
10Images
Test Set 4%
5Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -56% and +56%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%

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