Dataset Versions
Versions
v6
2024-09-30 6:11pm
Generated on Sep 30, 2024
8490 Total Images
View All Images
Dataset Split
Train Set 87%
7422Images
Valid Set 8%
713Images
Test Set 4%
355Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 2% of pixels