Dataset Versions
Versions
v1
2024-03-29 6:46am
Generated on Mar 29, 2024
2759 Total Images
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Dataset Split
Train Set 87%
2409Images
Valid Set 9%
236Images
Test Set 4%
114Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 7 remapped, 5 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 4% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 21% of images
Saturation: Between -30% and +30%
Brightness: Between -19% and +19%
Exposure: Between -10% and +10%
Blur: Up to 2.9px
Noise: Up to 0.77% of pixels