Dataset Versions
v2
2024-09-20 7:03pm
Generated on Sep 20, 2024
20 Total Images
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Dataset Split
Train Set 90%
18Images
Valid Set 5%
1Images
Test Set 5%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.1% of pixels