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Identity Protection Suite vs scikit-image: What are the differences?
What is Identity Protection Suite? Anonymize faces & license plates on images & videos automatically. It offers various solutions to automatically redact faces and license plates on images and videos with highest quality.
What is scikit-image? Image processing in Python. scikit-image is a collection of algorithms for image processing.
Identity Protection Suite and scikit-image can be primarily classified as "Image Processing and Management" tools.
Some of the features offered by Identity Protection Suite are:
- Fully automatic, AI-powered anonymization software
- High precision blurring of faces, full bodies and license plates in images and videos
- Deep Natural Anonymization of faces and license plates for privacy compliant image and video analytics and machine learning
On the other hand, scikit-image provides the following key features:
- Provides I/O, filtering, morphology, transformations, measurement, annotation, color conversions, test data sets, etc.
- Written in Python with a well-commented source code
- Has had 5,709 commits made by 116 contributors representing 29,953 lines of code
scikit-image is an open source tool with 4K GitHub stars and 1.68K GitHub forks. Here's a link to scikit-image's open source repository on GitHub.
Pros of Identity Protection Suite
Pros of scikit-image
- More powerful6
- Anaconda compatibility4
- Great documentation1