Dataset Versions
v4
2024-01-03 8:29am
Generated on Jan 3, 2024
413 Total Images
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Dataset Split
Train Set 87%
360Images
Valid Set 8%
35Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.99% of pixels