Dataset Versions
Versions
v1
2024-08-25 6:23pm
Generated on Aug 25, 2024
55 Total Images
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Dataset Split
Train Set 82%
45Images
Valid Set 9%
5Images
Test Set 9%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -1° and +1°
Hue: Between -57° and +57°
Saturation: Between -48% and +48%
Blur: Up to 1.7px
Noise: Up to 1.96% of pixels