Dataset Versions
v21
test10
Generated on Nov 2, 2023
1056 Total Images
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Dataset Split
Train Set 88%
924Images
Valid Set 8%
89Images
Test Set 4%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Grayscale: Apply to 40% of images
Brightness: Between -50% and +50%
Blur: Up to 4px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down