Dataset Versions

v3

2024-05-03 2:01am

Generated on May 2, 2024

Dataset Split

Train Set 100%
75Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 3% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 2% of images
Saturation: Between -36% and +36%
Exposure: Between -15% and +15%
Blur: Up to 0.6px
Noise: Up to 0.46% of pixels
Cutout: 6 boxes with 5% size each

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