Dataset Versions
v7
2024-12-09 4:42pm
Generated on Dec 9, 2024
8490 Total Images
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Dataset Split
Train Set 87%
7422Images
Valid Set 8%
713Images
Test Set 4%
355Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 2px
Noise: Up to 1.01% of pixels