Dataset Versions
v3
2024-07-08 6:37am
Generated on Jul 8, 2024
875 Total Images
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Dataset Split
Train Set 91%
795Images
Valid Set 6%
53Images
Test Set 3%
27Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 1.8% of pixels