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OpenCV VS Shutterstock

Compare OpenCV VS Shutterstock 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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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Shutterstock logo Shutterstock

Shutterstock is a provider of stock photos, illustrations, and vector art. The website allows individuals to purchase a subscription and download copyrighted art for creative projects. Read more about Shutterstock.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Shutterstock Landing page
    Landing page //
    2023-09-20

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.

Shutterstock features and specs

  • Large Library
    Shutterstock offers millions of high-quality images, videos, and music tracks, providing a diverse and extensive selection for users.
  • Search Functionality
    Advanced search and filtering options make it easy to find exactly what you're looking for quickly.
  • Flexible Pricing Plans
    A variety of subscription plans and on-demand options allow users to select a payment method that fits their budget and needs.
  • High-Quality Content
    Stringent quality controls ensure that users have access to professional and high-resolution media.
  • Royalty-Free License
    All content is royalty-free, providing users with the peace of mind of knowing they can use the media without ongoing costs.
  • User-Friendly Interface
    The platform is designed to be intuitive and easy to navigate, even for those who are not tech-savvy.
  • API Access
    Shutterstock provides API access for businesses that need to integrate media directly into their own applications.

Possible disadvantages of Shutterstock

  • Cost
    Shutterstock can be relatively expensive, especially for individuals or small businesses with limited budgets.
  • Subscription Limitations
    Some subscription plans have limits on the number of downloads per month, which can be restrictive for high-demand users.
  • Stock Feel
    Some users feel that the images and videos can have a 'stock' or generic appearance, which may not suit all creative projects.
  • Watermarked Previews
    Previews of media assets have watermarks, making it difficult to fully assess an image's suitability before purchase.
  • Occasional Inconsistency
    Despite quality controls, there can be occasional inconsistency in the quality of available media.
  • Overused Content
    Popular images and videos may be widely used across multiple platforms, reducing originality in projects.
  • Complex Licensing for Commercial Use
    While content is royalty-free, licensing terms for commercial use can sometimes be complex and require careful review.

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Shutterstock videos

+ Add

How Much Money Can You Make on SHUTTERSTOCK in Your First Year? Earnings, Best Sellers, and Thoughts

More videos:

  • Review - Stock Photography for Beginners | Is Shutterstock Worth it in 2020?
  • Tutorial - Shutterstock Contributor Tutorial and Tips for Beginners

Category Popularity

0-100% (relative to OpenCV and Shutterstock)

OpenCV

Shutterstock

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Photos & Graphics
0 0%
Photos & Graphics
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Image Marketplace
0 0%
Image Marketplace
100% 100

User comments

Share your experience with using OpenCV and Shutterstock. For example, how are they different and which one is better?
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Reviews

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

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

Shutterstock Reviews

12 Best Sites Like Freepik For Downloading Photos
You must have heard of Shutterstock before and if not, it’s high time that we make it familiar to you. Headquartered in New York, Shutterstock is one of the biggest such websites out there. More than 1 million users worldwide share their content on the platform. More than 1 billion images, video clips, and music tracks have been downloaded through the platform. Also, stock...
Source: www.devdude.com
The best Freepik alternatives 2023
Shutterstock provides over 400 million stock images compared to Freepik’s 41 million. It also offers more advanced features, flexible licensing options, and higher maximum image resolutions. The drawback is that Shutterstock is more expensive. But with its vastly larger library and premium features, it can be worth it for professional needs.
Source: photutorial.com
The Complete List of Video Marketing Tools (Updated for 2022)
Shutterstock is arguably the largest stock-anything site with more than 14 million stock footage, music, and images available in their library. If you know you’re going to need many stock content, you can’t go wrong with Shutterstock.
Source: breadnbeyond.com

Social recommendations and mentions

Based on our record, OpenCV should be more popular than Shutterstock. It has been mentiond 60 times since March 2021. 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.

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 / 2 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 16 days 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 / 5 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 / 6 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
View more

Shutterstock mentions (19)

  • [HELP!] I need your feedback about my creations!
    Other reputable places to sell vector artwork online are shutterstock.com, and stock.adobe.com Each will have their own requirements and tutorials for submitting artwork. You can also start your own page on Etsy.com. Source: over 1 year ago
  • I just started my first freelance job. Am I expected to source my own stock photos or do I ask?
    "Freelance" means, "You're on your own, kid." However, all of the things you ask are possible--access to your client's assets, buy your own and bill them, source free images. shutterstock.com is one of my favorites. I was searching for free/royalty free images endlessly until I just bought a monthly subscription. The time savings makes up for the time spent scouring the internet. Good luck and have fun!... Source: about 2 years ago
  • "you coolio" is too offensive i guess
    Just found out the image had "shutterstock.com" on it. Source: about 2 years ago
  • Y2K Aesthetic - how do I create a Y2K computer browser?!
    Go to shutterstock.com and type in these exact keywords. Vaporwave, windows 98, y2k computer browser. You should get a ton of vector assets that will help cut your design time in half. Source: over 2 years ago
  • Where to find graphics like blood splatter, dirt, lightning etc. for use in photoshop?
    Look for royalty-free images. You may try shutterstock.com if you need more and are ok to make a subscription or unsplash.com if you want free images. Moreover you may try deviantart.com or google search for blood splatter. Source: over 2 years ago
View more

What are some alternatives?

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

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

Pexels - Find the best free stock images about Browser Home Page. Download all photos and use them even for commercial projects.

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

Unsplash - Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.

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

Pixabay - Over 270,000 free photos, vectors and art illustrations

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