yolo

normal

Classification

normal Image Dataset

v1

normal

Generated on Nov 18, 2021

Dataset Split

Train Set 100%
1347Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 650x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -9% and +9%
Noise: Up to 3% of pixels