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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. Sch\"onberger, Juan Nunez-Iglesias, Fran\c{c}ois Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, the scikit-image contributors• 2014

Related benchmarks

TaskDatasetResultRank
Shape classificationBBBC010
F1 Score87
7
Shape classificationcBBBC010
F1 Score93
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Shape classificationHeLa Kyoto
F1-score87
7
Shape classificationMOC
F1 Score70
7
ClassificationMPEG-7
F1 Score89
7
ClassificationMPEG-400
F1-score96
7
ClassificationMendeley
F1-score99
7
ClassificationMNIST
F1 Score81
7
ClassificationFlavia
F1-score87
6
ClassificationSwedish Leaves
F1-score84
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