Dataset Versions

v2

preprocessed_augmented

Generated on Jul 18, 2023

Dataset Split

Train Set 86%
75Images
Valid Set 9%
8Images
Test Set 5%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -9° and +9°
Brightness: Between -10% and +10%
Noise: Up to 5% of pixels