Dataset Versions
Versions
v1
2024-08-30 3:10am
Generated on Aug 30, 2024
1482 Total Images
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Dataset Split
Train Set 87%
1296Images
Valid Set 8%
124Images
Test Set 4%
62Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 3 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels