Dataset Versions
Versions
v1
2022-10-25 3:20pm
Generated on Oct 25, 2022
298 Total Images
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Dataset Split
Train Set 94%
280Images
Valid Set 3%
10Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 2% of images
Blur: Up to 4.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each