Dataset Versions
v3
2024-05-25 1:53pm
Generated on May 25, 2024
1002 Total Images
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Dataset Split
Train Set 87%
876Images
Valid Set 8%
82Images
Test Set 4%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±13° Horizontal, ±13° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels