Dataset Versions
v4
2024-04-22 5:19pm
Generated on Apr 22, 2024
7947 Total Images
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Dataset Split
Train Set 87%
6918Images
Valid Set 9%
683Images
Test Set 4%
346Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 960x540
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 24% of images
Hue: Between -31° and +31°
Saturation: Between -41% and +41%
Blur: Up to 6.2px
Noise: Up to 3.35% of pixels