Dataset Versions

v2

2023-10-04 4:14pm

Generated on Oct 4, 2023

Dataset Split

Train Set 95%
741Images
Valid Set 5%
43Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -70° and +70°
Brightness: Between -25% and +25%
Noise: Up to 2% of pixels

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