Dataset Versions
v4
D2
Generated on Sep 2, 2023
397 Total Images
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Dataset Split
Train Set 88%
348Images
Valid Set 8%
32Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -40% and +40%
Noise: Up to 2% of pixels
Cutout: 11 boxes with 14% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 90% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Blur: Up to 5px
Bounding Box: Noise: Up to 3% of pixels