Dataset Versions

v7

2024-09-04 9:17am

Generated on Sep 4, 2024

Dataset Split

Train Set 100%
135Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
90° Rotate: Applied
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±7° Vertical
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -23% and +23%
Brightness: Between -15% and +15%
Exposure: Between -1% and +1%
Blur: Up to 0.7px
Noise: Up to 0.89% of pixels

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