Dataset Versions
Versions
v1
2023-12-29 4:53pm
Generated on Dec 29, 2023
232 Total Images
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Dataset Split
Train Set 96%
222Images
Valid Set 3%
6Images
Test Set 2%
4Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Noise: Up to 0.1% of pixels