Dataset Versions
v4
2023-12-30 10:18pm
Generated on Dec 31, 2023
414 Total Images
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Dataset Split
Train Set 96%
399Images
Valid Set 4%
15Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.77% of pixels
Cutout: 3 boxes with 15% size each