Dataset Versions
v6
2023-01-13 1:38am
Generated on Jan 12, 2023
6296 Total Images
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Dataset Split
Train Set 88%
5568Images
Valid Set 8%
480Images
Test Set 4%
248Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -14° and +14°
Grayscale: Apply to 40% of images
Hue: Between -76° and +76°
Brightness: Between -38% and +38%
Exposure: Between -34% and +34%
Blur: Up to 2.25px
Noise: Up to 7% of pixels
Cutout: 10 boxes with 5% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise