adit

TA

Classification

TA Image Dataset

v4

2024-05-20 3:08pm

Generated on May 20, 2024

Dataset Split

Train Set 87%
2121Images
Valid Set 8%
196Images
Test Set 4%
108Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-86% Horizontal Region, 25-80% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical