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What is Ultralytics?

Ultralytics offers a robust vision-AI platform built around its acclaimed YOLO model suite, enabling teams to easily train, validate, and deploy computer vision models. The platform includes an easy-to-use drag-and-drop interface for managing datasets, allowing users to select from existing templates or create customized models, along with the ability to export in various formats ideal for cloud, edge, or mobile applications. It accommodates a variety of tasks including object detection, instance segmentation, image classification, pose estimation, and oriented bounding-box detection, ensuring that Ultralytics' models achieve high levels of accuracy and efficiency suitable for both embedded systems and large-scale inference requirements. Furthermore, it features Ultralytics HUB, a convenient web-based tool that enables users to upload images and videos, train models online, visualize outcomes (including on mobile devices), collaborate with teammates, and deploy models seamlessly via an inference API. This integration of advanced tools simplifies the process for teams looking to implement cutting-edge AI technology in their initiatives, thus fostering innovation and enhancing productivity throughout their projects. Overall, Ultralytics is committed to providing a user-friendly experience that empowers users to maximize the potential of AI in their work.

What is OpenCV?

OpenCV, or Open Source Computer Vision Library, is a software library that is freely accessible and specifically designed for applications in computer vision and machine learning. Its main objective is to provide a cohesive framework that simplifies the development of computer vision applications while improving the incorporation of machine perception in various commercial products. Being BSD-licensed, OpenCV allows businesses to customize and alter its code according to their specific requirements with ease. The library features more than 2500 optimized algorithms that cover a diverse range of both conventional and state-of-the-art techniques in the fields of computer vision and machine learning. These robust algorithms facilitate a variety of functionalities, such as facial detection and recognition, object identification, classification of human actions in video footage, tracking camera movements, and monitoring dynamic objects. Furthermore, OpenCV enables the extraction of 3D models, the generation of 3D point clouds using stereo camera inputs, image stitching for capturing high-resolution scenes, similarity searches within image databases, red-eye reduction in flash images, and even tracking eye movements and recognizing landscapes, highlighting its adaptability across numerous applications. The broad spectrum of capabilities offered by OpenCV positions it as an indispensable tool for both developers and researchers, promoting innovation in the realm of computer vision. Ultimately, its extensive functionality and open-source nature foster a collaborative environment for advancing technology in this exciting field.

Media

Media

Integrations Supported

Python
Akira AI
C++
Comet
Conda
Dash
Docker
GitHub
Intel Open Edge Platform
Java
MATLAB
NVIDIA TensorRT
Neural Magic
Roboflow
SikuliX
TensorFlow
Weasis
thumbor

Integrations Supported

Python
Akira AI
C++
Comet
Conda
Dash
Docker
GitHub
Intel Open Edge Platform
Java
MATLAB
NVIDIA TensorRT
Neural Magic
Roboflow
SikuliX
TensorFlow
Weasis
thumbor

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Ultralytics

Date Founded

2014

Company Location

United States

Company Website

www.ultralytics.com

Company Facts

Organization Name

OpenCV

Company Location

United States

Company Website

opencv.org/about/

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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