Dataset Versions
v3
2023-06-08 10:20am
Generated on Jun 8, 2023
3275 Total Images
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Dataset Split
Train Set 86%
2820Images
Valid Set 9%
302Images
Test Set 5%
153Images
Preprocessing
Isolate Objects: Applied
Resize: Fill (with center crop) in 100x100
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 70% of images
Saturation: Between -43% and +43%
Brightness: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 5px