https://github.com/alkhalisy/new-augmentation-method
New method for image dataset augmentation
Science Score: 13.0%
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Low similarity (4.5%) to scientific vocabulary
Last synced: 10 months ago
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Repository
New method for image dataset augmentation
Basic Info
- Host: GitHub
- Owner: alkhalisy
- License: gpl-2.0
- Language: Python
- Default Branch: main
- Size: 13.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
License
README.md
New-Augmentation-Method
New method for image dataset augmentation Random image background change using deep mediapip library
Methods: data-augmentation method based on semantic segmentation. The MobileNetV3 model was used to get an image semantic segmentation mask, which was used to get a binary mask, which in turn was used to replace the image background by using conditional subtraction with randomly selected background images. Finally, randomly pixel-based color augmentation was added to the resulting image" Resulted images
Owner
- Login: alkhalisy
- Kind: user
- Repositories: 1
- Profile: https://github.com/alkhalisy
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