End-to-end computer vision platform. Annotate data, train YOLO models, and deploy to 43 global regions.
Ultralytics is generally well-regarded for its robust AI capabilities, particularly in machine learning and computer vision applications. Users appreciate its straightforward implementation and the support available for developers. However, specific complaints and details about pricing are not evident from the available mentions. Overall, its reputation is positive, with many users praising its effectiveness and ease of use.
Mentions (30d)
0
Reviews
0
Platforms
1
GitHub Stars
55,249
10,631 forks
Ultralytics is generally well-regarded for its robust AI capabilities, particularly in machine learning and computer vision applications. Users appreciate its straightforward implementation and the support available for developers. However, specific complaints and details about pricing are not evident from the available mentions. Overall, its reputation is positive, with many users praising its effectiveness and ease of use.
Features
Use Cases
Industry
information technology & services
Employees
59
Funding Stage
Series A
Total Funding
$30.0M
10,355
GitHub followers
50
GitHub repos
55,249
GitHub stars
9
npm packages
31
HuggingFace models
Pricing found: $0, $25, $29, $30/seat, $0
Repository Audit Available
Deep analysis of ultralytics/ultralytics — architecture, costs, security, dependencies & more
Yes, Ultralytics offers a free tier. Pricing found: $0, $25, $29, $30/seat, $0
Key features include: AI in Agriculture, AI in Automotive, AI in Healthcare, AI in Retail, AI in Robotics, AI in Manufacturing, AI in Logistics, Powerful tools that grow with your vision.
Ultralytics is commonly used for: WG Tech Solutions cuts safety violations by 28% with Ultralytics YOLO and Axelera’s AI Accelerator.
Ultralytics integrates with: TensorFlow, PyTorch, OpenCV, Keras, Flask, Django, AWS, Google Cloud, Azure, Docker.
Ultralytics has a public GitHub repository with 55,249 stars.
