Dataset Versions

v2

2024-09-03 6:42pm

Generated on Sep 3, 2024

Dataset Split

Train Set 87%
2466Images
Valid Set 9%
244Images
Test Set 5%
130Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels