scikit-image: Image processing in Python

About

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

Stefan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, the scikit-image contributors · 2014

Related benchmarks

Task	Dataset	Result
Shape classification	BBBC010	F1 Score87	7
Shape classification	cBBBC010	F1 Score93	7
Shape classification	HeLa Kyoto	F1-score87	7
Shape classification	MOC	F1 Score70	7
Classification	MPEG-7	F1 Score89	7
Classification	MPEG-400	F1-score96	7
Classification	Mendeley	F1-score99	7
Classification	MNIST	F1 Score81	7
Classification	Flavia	F1-score87	6
Classification	Swedish Leaves	F1-score84	6