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Icons8 Background Remover VS OpenCV

Compare Icons8 Background Remover VS OpenCV and see what are their differences

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Icons8 Background Remover logo Icons8 Background Remover

Quickly remove the background from any photo

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Icons8 Background Remover Landing page
    Landing page //
    2023-03-18

Erase image backgrounds and make a transparent background, using AI. Remove backgrounds from any photo online for free

  • OpenCV Landing page
    Landing page //
    2023-07-29

Icons8 Background Remover features and specs

  • High-quality results
    Icons8 Background Remover uses advanced AI algorithms to provide high-quality results that accurately remove backgrounds while preserving intricate details of the subject.
  • Ease of use
    The tool is user-friendly and designed for intuitive use, allowing users to quickly remove backgrounds with minimal effort.
  • Supports various formats
    The tool supports a variety of image formats, making it versatile and suitable for different use cases, whether for personal or professional purposes.
  • Speed
    Icons8 Background Remover processes images quickly, which is beneficial for users who need to remove backgrounds from multiple pictures in a short amount of time.
  • No software installation
    Being an online tool, it eliminates the need for any software installation, thus saving disk space and making it accessible from any device with internet access.

Possible disadvantages of Icons8 Background Remover

  • Requires Internet connection
    Since it is an online tool, continuous internet access is necessary to use the service, which can be inconvenient in areas with poor connectivity.
  • Potential privacy concerns
    Uploading images to an online server may raise privacy concerns for users who are handling sensitive or personal data.
  • Limited free usage
    The free tier of the service might have limitations on the number of images that can be processed, which could be a drawback for users who need to process a large volume of images.
  • Subscription cost
    Accessing the full range of features and higher usage allowances often requires a paid subscription, which could be a barrier for budget-conscious users.
  • Lack of offline functionality
    The tool cannot be used offline, limiting its usefulness in situations where users do not have access to the internet.

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.

Icons8 Background Remover videos

+ Add

The Best Photo Background Remover Software! Background.BG vs PhotoScape X

More videos:

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  • Review - Glorify App Background Remover - Best Graphic Editor for Ecommerce and Online Marketing 2019
  • Tutorial - Background remover: remove background from photos and images

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Icons8 Background Remover and OpenCV)

Icons8 Background Remover

OpenCV

Background Removal Tool
100 100%
Background Removal Tool
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Photos & Graphics
100 100%
Photos & Graphics
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Icons8 Background Remover and OpenCV. 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 Icons8 Background Remover and OpenCV

Icons8 Background Remover Reviews

10 Best AI Background Removers for Flawless Edits in 2023
Looking at the pricing structure for Icons8 Background Remover, it's noteworthy that they offer a free tier that allows you to process up to three images. For those with heavier use cases, there are prepaid packages where each processed image costs $0.20. If you need to process a regular batch of images monthly, consider their limited subscription set at $9/month, allowing...
Source: picofme.io

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 more popular. 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.

Icons8 Background Remover mentions (0)

We have not tracked any mentions of Icons8 Background Remover yet. Tracking of Icons8 Background Remover recommendations started around Mar 2021.

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 / 11 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 24 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

What are some alternatives?

When comparing Icons8 Background Remover and OpenCV, you can also consider the following products

remove.bg - Remove the background of any image 100% automatically

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

Removal.ai - Create transparent background for any image using Removal.ai - The fastest, easy-to-use & free tool to automatically remove backgrounds online.

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

ClippingMagic.com - Remove image backgrounds online. Make backgrounds transparent, white, etc. Edit, crop, rotate, fix colors, add shadows, all you need for great photos!

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

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