Compare SimpleCV and scikit-image 
- Users report that scikit-image excels in custom image detection, providing a robust set of tools for image processing that allows for extensive customization, while SimpleCV is noted for its ease of use in object detection, making it more accessible for beginners.
- Reviewers mention that scikit-image has a steeper learning curve due to its comprehensive features, but once mastered, it offers superior scene reconstruction capabilities compared to SimpleCV, which is praised for its user-friendly interface.
- G2 users highlight that SimpleCV provides better quality of support, with many users appreciating the responsive community and documentation, whereas scikit-image has been described as having a more fragmented support system.
- Users on G2 report that scikit-image shines in model training due to its integration with other scientific libraries, allowing for advanced machine learning applications, while SimpleCV is often seen as limited in this area.
- Reviewers say that both products have strong deployment capabilities, but SimpleCV is often favored for its straightforward deployment process, making it easier for users to implement their projects quickly.
- Users report that scikit-image has a more extensive range of features for facial recognition and facial analysis, which are critical for advanced applications, while SimpleCV is seen as more suitable for simpler tasks and rapid prototyping.
- This library was built for everyone from a newbie to an expert as the APIs are easy to use and understand. - Huge amount of people prefer SimpleCV making it easier to find solutions on the web. - Many tutorials can be found and so learning SimpleCV is...
free and open-source library with a variety of common image processing algorithms. Easy to import and analyse 2D and 3D images with simple python code. One of the optimized library with a stable version. Very useful in pattern recognition and AI...
While it is very extensive, the library does have its limits with some data sets where the data will not be processed. Sometimes there is error when running it in MATLAB so that should be improved.
- This library was built for everyone from a newbie to an expert as the APIs are easy to use and understand. - Huge amount of people prefer SimpleCV making it easier to find solutions on the web. - Many tutorials can be found and so learning SimpleCV is...
free and open-source library with a variety of common image processing algorithms. Easy to import and analyse 2D and 3D images with simple python code. One of the optimized library with a stable version. Very useful in pattern recognition and AI...
While it is very extensive, the library does have its limits with some data sets where the data will not be processed. Sometimes there is error when running it in MATLAB so that should be improved.
