Dataset Versions
v2
2024-10-17 12:44pm
Generated on Oct 17, 2024
260 Total Images
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Dataset Split
Train Set 92%
240Images
Valid Set 4%
10Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -21° and +21°
Brightness: Between 0% and +25%
Exposure: Between -26% and +26%
Blur: Up to 4.6px
Noise: Up to 7.42% of pixels