Dataset Versions
v2
2024-05-08 12:59pm
Generated on May 8, 2024
1877 Total Images
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Dataset Split
Train Set 88%
1644Images
Valid Set 8%
156Images
Test Set 4%
77Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3.1px
Noise: Up to 1.92% of pixels