Dataset Versions
v6
2024-05-28 11:17am
Generated on May 28, 2024
2067 Total Images
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Dataset Split
Train Set 92%
1899Images
Valid Set 6%
128Images
Test Set 2%
40Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
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, 13% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±9° Vertical
Grayscale: Apply to 19% of images
Hue: Between -24° and +24°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.4px
Noise: Up to 1.88% of pixels