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Bright Data VS OpenCV

Compare Bright Data VS OpenCV and see what are their differences

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Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price. featured
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  3. » Reviews
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Bright Data logo Bright Data

World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Bright Data Landing page
    Landing page //
    2021-05-12
  • OpenCV Landing page
    Landing page //
    2023-07-29

Bright Data features and specs

  • Extensive Proxy Network
    Bright Data offers a vast and diverse network of over 72 million IPs, ensuring high availability and reliability for users.
  • Wide Range of Services
    Provides various proxy solutions including data center, residential, mobile, and ISP proxies, catering to different user needs.
  • Geographical Targeting
    Allows users to target proxies based on specific countries, cities, and even ASN, which is beneficial for localized data scraping.
  • Advanced Tools and APIs
    Offers sophisticated tools and APIs for automation, data extraction, and optimized proxy management.
  • Customer Support
    Provides round-the-clock customer support and numerous resources such as detailed documentation and integration guides.

Possible disadvantages of Bright Data

  • Cost
    Bright Data's services are priced at a premium, which might be expensive for small businesses or individual users.
  • Complexity
    The extensive range of options and settings can be overwhelming and may require a steep learning curve for new users.
  • Ethical Concerns
    The use of residential and mobile proxies can raise ethical questions regarding user consent and data privacy.
  • Account Approval
    New accounts are subject to approval which can delay immediate access to the service.
  • Occasional IP Blocks
    Despite the large IP pool, users may still experience occasional blocks and captchas when accessing certain websites.

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.

Bright Data videos

+ Add

Rotating Residential Network | Proxy Network Types | Bright Data (Formerly Luminati Networks)

OpenCV videos

+ Add

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Bright Data and OpenCV)

Bright Data

OpenCV

Proxy
100 100%
Proxy
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Residential Proxies
100 100%
Residential Proxies
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 Bright Data and OpenCV

Bright Data Reviews

  1. Sam Mitchell
    · Owner at KittenProperties ·
    Mixed feelings

    We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too expensive.

    🏁 Competitors: Smartproxy, NetNut.io
    👍 Pros:    Cheap dc proxies
    👎 Cons:    Quite expensive|Residential proxies are worse than competitiors
Top 10 Alternatives to Bright Data (formerly Luminati Proxy Networks)
Oxylabs remains the number aggressive competitor of Bright Data – they have even had a case to settle in the court in the past. If you wouldn’t want to use Bright Data proxies, then you might as well avoid Oxylabsas it is everything you hate in Bright Data and even worse. Aside from the pricing aspect, Oxylabs have been found to engage in some unethical practices and scam...
Source: www.bestproxyreviews.com
911.re Alternatives: 10 Best Proxies Smilar to 911 Proxy in 2023
The most exciting thing about Bright Data is that it comes with new daily feature releases so that you always have access to the latest features as soon as they are released. You also have access to 24/7 global support and dedicated account managers who will help you get started with Bright Data immediately!
Source: www.techuseful.com
17 BEST Residential Proxies to Buy in 2022 (Cheap & Premium)
Formerly known as Luminati Networks, Bright Data is the most popular premium residential proxy provider in the industry.
Source: earthweb.com
10 Best Free Online Proxy Server List of 2022 [VERIFIED]
Verdict: Bright Data Proxy Manager will help you with various use cases such as web data extraction, e-commerce, collecting stock market data, brand protection, etc. Bright Data has capabilities of data collection from eCommerce, Social Media, etc. It provides 24×7 global support and dedicated account managers.
Source: www.softwaretestinghelp.com
How to choose the right proxy service for your bots and scraping (Residential vs. Backconnect vs. Datacenter, and Exclusive vs. Shared proxies)
To be specific, Luminati is literally an order of magnitude ahead of it’s next largest competitor and the pricing of all legally-compliant residential proxy networks (of which there are between 1 and 4, depending on your definition) is, unfortunately, nearly identical. If $500 per month seems like a lot to you, feel free to shop around. Nothing compares and nothing in the...
Source: bulletproofdev.github.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 should be more popular than Bright Data. It has been mentiond 59 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.

Bright Data mentions (34)

  • Reddit Recap: Audio summaries of subreddits powered by BrightData
    Reddit Recap is an application that scrapes subreddits using BrightData and generates concise summaries every two hours. These summaries are then converted into audio briefings, all accessible through a beautiful web app, allowing users to effortlessly stay informed about their favorite communities. - Source: dev.to / 4 months ago
  • State of the Art Automated Web Scraper using Bright Data
    Make sure to sign up on BrightData. Also complete the steps for the initial setup for Proxies & Scraping Infrastructure and Web Scraping API. Please make a note on the WSS Browser Credential, Webscraper Api Token. - Source: dev.to / 4 months ago
  • Make Cursor Composer Smarter with Bright Web Scraping Capabilities
    So my goal here is creating a web scraper and web searcher using bright and gemini openai compatible model to make cursor composer more smarter with functionality like web search and web scrape. - Source: dev.to / 4 months ago
  • How to Use Proxies in Python
    Paid proxies: services like Bright Data or ScraperAPI provide reliable proxies with better performance and support, but you have to pay. - Source: dev.to / 6 months ago
  • Stealth Mode—Enhanced Bot Detection Evasion—Launch week day 3
    (Optional) Using a proxy server. You would need to secure proxy services from an external proxy provider (NetNut, BrightData, or similar) to configure things like host, username, and password separately. - Source: dev.to / 6 months ago
View more

OpenCV mentions (59)

  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 3 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 / 4 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 / 7 months ago
  • Built in Days, Acquired for $20K: The NuloApp Story
    First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed. - Source: dev.to / 7 months ago
View more

What are some alternatives?

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

Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.

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

Smartproxy - Smartproxy is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.

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

NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.

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

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