Dataset Versions
v5
2024-06-23 11:17am
Generated on Jun 23, 2024
6600 Total Images
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Dataset Split
Train Set 82%
5400Images
Valid Set 9%
600Images
Test Set 9%
600Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 150x150
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels