random images Dataset

v2

2024-03-04 5:56pm

Generated on Mar 4, 2024

Dataset Split

Train Set 77%
4526Images
Valid Set 15%
891Images
Test Set 7%
426Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Noise: Up to 1.5% of pixels