Dataset Versions
v2
2024-07-10 4:30pm
Generated on Jul 10, 2024
281 Total Images
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Dataset Split
Train Set 88%
246Images
Valid Set 8%
23Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 15% of images
Hue: Between -21° and +21°
Saturation: Between -33% and +33%
Exposure: Between -12% and +12%
Blur: Up to 1.8px
Noise: Up to 0.77% of pixels