Dataset Versions
v4
2023-02-13 10:27am
Generated on Feb 13, 2023
420 Total Images
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Dataset Split
Train Set 87%
366Images
Valid Set 9%
36Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 800x800
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -50% and +0%
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Blur: Up to 10px