Dataset Versions

v2

2024-02-21 2:35pm

Generated on Feb 21, 2024

Dataset Split

Train Set 87%
360Images
Valid Set 9%
36Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels