Dataset Versions
v2
With-AUG-ALL
Generated on Apr 7, 2024
17682 Total Images
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Dataset Split
Train Set 89%
15768Images
Valid Set 7%
1320Images
Test Set 3%
594Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 2.16% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px