G2

Dipak K.

Senior Research Fellow (PhD)

Small-Business (50 or fewer emp.)

3/22/2022

"Easy to use, open source Image processing algorithm library for use in python"

4.5/5

What do you like best about scikit-image?

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 applications. Easy to use and implement new algorithms using scikit-image in python. easy installation and integration with python. Review collected by and hosted on G2.com.

What do you dislike about scikit-image?

Real-time Video processing is not very much optimized compared to open CV. mostly for real-time video processing, OpenCV is recommended by the experts. Other than that no other dislikes for Scikit-image Review collected by and hosted on G2.com.

Recommendations to others considering scikit-image:

Beginners in the field of computer vision and image processing combined with AI must use this toolbox. There are many alternatives but this one is very easy to use, optimised and becoming very popular. Review collected by and hosted on G2.com.

What problems is scikit-image solving and how is that benefiting you?

Pattern recognition. object identification. morphological operations etc. many projects include combination of image processing with machine learning and deep learning algorithm for specific applications. Review collected by and hosted on G2.com.