scikit-image Description

Scikit-image is an extensive suite of algorithms designed for image processing tasks. It is provided at no cost and without restrictions. Our commitment to quality is reflected in our peer-reviewed code, developed by a dedicated community of volunteers. This library offers a flexible array of image processing functionalities in Python. The development process is highly collaborative, with contributions from anyone interested in enhancing the library. Scikit-image strives to serve as the definitive library for scientific image analysis within the Python ecosystem. We focus on ease of use and straightforward installation to facilitate adoption. Moreover, we are judicious about incorporating new dependencies, sometimes removing existing ones or making them optional based on necessity. Each function in our API comes with comprehensive docstrings that clearly define expected inputs and outputs. Furthermore, arguments that share conceptual similarities are consistently named and positioned within function signatures. Our test coverage is nearly 100%, and every piece of code is scrutinized by at least two core developers prior to its integration into the library, ensuring robust quality control. Overall, scikit-image is committed to fostering a rich environment for scientific image analysis and ongoing community engagement.

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Pricing

Pricing Starts At:
Free
Free Version:
Yes

Integrations

API:
Yes, scikit-image has an API
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Reviews - 1 Verified Review

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Company Details

Company:
scikit-image
Headquarters:
United States
Website:
scikit-image.org

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Types of Training
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scikit-image User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Yearly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Image processing in Python

    Date: Aug 03 2022

    Summary: Scikit-image is a very useful Python library for preprocessing and reading images that will be used in training machine learning algorithms.

    Positive: - powerful library for image preprocessing
    - can be used to converting image files into arrays of data that can be used for machine learning and computer vision in Python programs
    - free and open source

    Negative: - very poor documentation, but has a large community that has written many tutorials on how to use it

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