Dataset Versions
v9
2024-11-28 7:50pm
Generated on Nov 29, 2024
1490 Total Images
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Dataset Split
Train Set 88%
1305Images
Valid Set 8%
124Images
Test Set 4%
61Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.99% of pixels
Cutout: 3 boxes with 25% size each
Mosaic: Applied