Dataset Versions
Versions
v1
2023-08-28 12:06pm
Generated on Aug 28, 2023
18 Total Images
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Dataset Split
Train Set 100%
18Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±31° Horizontal, ±24° Vertical
Grayscale: Apply to 60% of images
Hue: Between -151° and +151°
Saturation: Between -99% and +99%
Exposure: Between -99% and +99%
Noise: Up to 8% of pixels
Cutout: 3 boxes with 25% size each