semantic segmentation Dataset

v5

2023-12-06 3:58pm

Generated on Dec 6, 2023

Dataset Split

Train Set 88%
1827Images
Valid Set 8%
174Images
Test Set 4%
87Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1200x1600

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%