Dataset Versions
v6
2024-07-21 6:28am
Generated on Jul 21, 2024
247 Total Images
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Dataset Split
Train Set 97%
240Images
Valid Set 2%
5Images
Test Set 1%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x1280
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.8% of pixels