OpenCV
OpenCV
A real-time optimized computer vision library for AI and ML.
Pricing
Contact for Pricing$ 249/mo
New Features
Open Source
Tool Info
Rating: N/A (0 reviews)
Date Added: October 26, 2023
Categories
GitHubEducation
Description
OpenCV is a computer vision library that offers real-time optimized tools and hardware for model execution in AI and ML. It is an open-source library released under the Apache 2 License and supports multiple platforms including Linux, MacOS, Windows, iOS, and Android. OpenCV is widely used in AI and ML applications, particularly in face recognition technology, and is also a trustworthy destination for learning Computer Vision, Deep Learning, and AI through OpenCV University.
Key Features
- Open source computer vision library
- Optimized for real-time performance
- Cross-platform with C++, Python, Java APIs
- Tools and pre-trained models provided
- Free for commercial use
Use Cases
- AI and ML Applications: OpenCV is widely used in AI and ML applications, particularly in face recognition technology. It provides various tools and hardware for model execution, making it a popular choice for developers working on real-time applications.
- Education: OpenCV University offers various courses including Mastering OpenCV with Python, Fundamentals of CV & IP, Deep Learning with PyTorch, Deep Learning with TensorFlow & Keras, Computer Vision & Deep Learning Applications, and Mastering Generative AI for Art. It is a trustworthy destination for learning Computer Vision, Deep Learning, and AI.
- Partnerships: OpenCV has partnerships with several notable companies, including Intel, its Platinum Member. There are also Gold Membership and Development Partnership options. This makes it a popular choice for companies looking to integrate Computer Vision and AI into their products.
- Face Recognition Technology: OpenCV Face Recognition combines the world’s largest Computer Vision library with the world's top-rated Face Recognition technology. This makes it a popular choice for developers working on face recognition applications.
- Cross-Platform Development: OpenCV provides C++, Python, and Java interfaces that support Linux, MacOS, Windows, iOS, and Android. This makes it a popular choice for developers looking to create cross-platform applications.
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