feten

cnn413

Classification

cnn413 Image Dataset

v1

2024-03-13 10:30pm

Generated on Mar 13, 2024

Dataset Split

Train Set 88%
1239Images
Valid Set 8%
113Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 520x320

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels