Dataset Versions

v3

2024-10-27 10:11pm

Generated on Oct 27, 2024

Dataset Split

Train Set 88%
12861Images
Valid Set 6%
892Images
Test Set 6%
895Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±13° Horizontal, ±13° Vertical
Brightness: Between -22% and +22%
Blur: Up to 3.7px
Noise: Up to 1.56% of pixels