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IconStore VS OpenCV

Compare IconStore VS OpenCV and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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IconStore logo IconStore

Free icon packs by first-class designers

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • IconStore Landing page
    Landing page //
    2023-09-26
  • OpenCV Landing page
    Landing page //
    2023-07-29

IconStore features and specs

  • Free Access
    IconStore provides a wide range of icons for free, which is highly beneficial for designers and developers on a budget.
  • High-Quality Icons
    The icons available are created by professional designers, ensuring high quality and consistency.
  • Variety of Categories
    IconStore offers icons in a variety of categories, making it easier to find exactly what you need for different projects.
  • Ease of Use
    The website is straightforward to navigate, making it simple to search for and download icons.
  • Free Commercial Use
    Most icons on IconStore are free to use even for commercial projects, which is a huge plus for businesses and freelancers alike.

Possible disadvantages of IconStore

  • Limited Search Functionality
    The search functionality could be limited or not as powerful as that on other icon websites, making it difficult to find specific icons quickly.
  • Smaller Collection
    Compared to paid icon libraries, IconStore might have a smaller selection of icons, limiting choices for some users.
  • Attribution Requirement
    Some icons require attribution, which can be cumbersome for users looking to use the icons without any strings attached.
  • Updates
    The frequency of adding new icons might not be as high as that of premium services, potentially leading to outdated styles or lack of the latest trends.
  • File Format Limitations
    Not all icons may be available in multiple file formats, which can be inconvenient for specific use cases.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Analysis of IconStore

Overall verdict

  • Yes, IconStore is generally considered a good resource for those looking for free, quality icons. It offers diversity in styles and the freedom to use icons in personal and commercial projects, which is a significant plus for many users.

Why this product is good

  • IconStore (iconstore.co) is highly regarded for its extensive collection of free, high-quality icons contributed by various designers. The platform offers various styles and formats, which makes it a flexible resource for designers and developers. The icons are often designed by skilled designers, ensuring a high level of visual quality.

Recommended for

  • Web designers looking for diverse icon styles
  • Developers needing icons for app interfaces
  • Graphic designers seeking inspiration from professionally designed icons
  • Anyone needing icons for personal or commercial projects without licensing concerns

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

IconStore videos

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OpenCV videos

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AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to IconStore and OpenCV)

IconStore

OpenCV

Web Icons
100 100%
Web Icons
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Design Tools
100 100%
Design Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare IconStore and OpenCV

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OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than IconStore. While we know about 60 links to OpenCV, we've tracked only 1 mention of IconStore. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

IconStore mentions (1)

  • 🎨 Ultimate Front End Design Resource Guide: Elevate Your UI/UX Projects! ❤️
    IconStore - Beautifully crafted free icons. - Source: dev.to / 12 months ago

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 29 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 month ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 6 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 7 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
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What are some alternatives?

When comparing IconStore and OpenCV, you can also consider the following products

Feather Icons - Simply beautiful open source icons

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import icons…

NumPy - NumPy is the fundamental package for scientific computing with Python

Streamline icons - The world’s largest icon pack library - 100k icons and illustrations.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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