mahtab gholami

NEW_DATA_UNET

Semantic Segmentation

NEW_DATA_UNET Image Dataset

v4

2024-01-15 12:49pm

Generated on Jan 15, 2024

Dataset Split

Train Set 94%
240Images
Valid Set 6%
14Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 16% of images