semantic segmentation Dataset

v10

2023-12-08 6:13pm

Generated on Dec 8, 2023

Dataset Split

Train Set 93%
2151Images
Valid Set 5%
114Images
Test Set 3%
59Images

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%