scikit-image Reviews & Product Details

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.

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.

I recommend scikit image to people interested in solving computer vision problems Review collected by and hosted on G2.com.

We use scikit image for image processing and image segmentation at my work place Review collected by and hosted on G2.com.

I recommend using scikit-image for implementing face detection,object detection and other image recognition and image processing algorithms using scikit-image because it makes it easy to implement such algorithms because of its library of common methods which are already implemented and it can be used with a line of code so I recommend using scikit-image for image processing and recognition purposes. Review collected by and hosted on G2.com.

I am a software developer and have to implement face recognition,face tracking,object detection and other image recognition algorithms directly or indirectly.I have implemented face recognition using scikit-image and have got good results for my client's software so I am very satisfied with scikit-image.I also implemented OCR using digit recognition through scikit-image. Review collected by and hosted on G2.com.

I recommend using scikit-image for image processing and implementing it especially for python because it is the best library that you can have.It stores images in numpy array format which can be used with other libraries for furthur processing so it has greater portability.Also it has many inbuilt models and tons of datasets so it just becomes easy to implement any image recognition algorithm in python so I recommend using it. Review collected by and hosted on G2.com.

At my business whenever there is a need of image processing in my code I go for scikit-image because I already am using scikit-learn which is also a great product from scikit and so using both of them togather just makes your work more easy.I have implemented various basic algorithms using scikit-image like object detection and also digit recognition(realtime) and have integrated them to my code. Review collected by and hosted on G2.com.

Highly recommended. A lot to explore and learn. Review collected by and hosted on G2.com.

I'm trying to study behavioral pattern recognition using different facial expressions. So the study deals with different facial expression recognition, and their behavior traits. Review collected by and hosted on G2.com.

I recommend using scikit image for image processing tasks because it makes it easy to implement image processing tasks through its best algorithms.I just had to implement hough ellipse and after trying a lot by my own I was not able to code it but then I used scikit image and was easily able to implement it within minutes and made my code ready for deployment so I recommend using scikit image to ease your task. Review collected by and hosted on G2.com.

I am a python programmer in my team of software developers and my job is to implement various algorithms according to the project requirments and when we get projects related to image processing like object detection,segmentation,tracking and face recognition I use scikit image for implementing such algorithms.Recently we developed a product for classifying images according to their color tone for a company and for that I used scikit-image. Review collected by and hosted on G2.com.

A lot of our data is images such as MRI, PET Scans, Handwriting data, in large extensive files. The library works well for applying various types of machine learning algorithms to our data and it has given us reliable results. Review collected by and hosted on G2.com.

I recommend using scikit-image library for implementing image processing algorithms in python and than deploying the product on your required platform.It is the best image processing library according to me and it will be the most useful and easy to implement library that you can ever have in the field of image processing for python. Review collected by and hosted on G2.com.

I use scikit-image for developing image processing products like developing training data for oneshot training algorithms.Developing a filter for photos app and integrating it into the product as required by client.Also I have implemented various different algorithm and tuned the algorithms of the scikit-image to make sure that the parameters are perfect for my usage.It is the best helpful image recognition library. Review collected by and hosted on G2.com.

if you know opencv and matplotlib and want to perform any kind vision analytics than this api is the best choice ,although it's hard to learn but at he end of the day it really simplifies your work!! Review collected by and hosted on G2.com.

our company use this API for damage detection and vision monitoring for industry based system!! Review collected by and hosted on G2.com.

It's free to use as a python package and has good documentation. Using scikit-image's neural network for pattern recognition in images. Review collected by and hosted on G2.com.