Dataset Versions

v80

2025-01-08 2:34pm

Generated on Jan 8, 2025

Dataset Split

Train Set 92%
657Images
Valid Set 4%
28Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x960
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.5% of pixels