End-to-end computer vision platform. Annotate data, train YOLO models, and deploy to 43 global regions. Trusted by Siemens, Intel, Shell & more.
Ultralytics is recognized for its powerful AI capabilities, particularly in enhancing efficiency and accuracy in machine learning projects. Users appreciate its user-friendly interface, which makes sophisticated AI accessible even to those with less technical expertise. Key complaints revolve around occasional bugs and limited customer support options. Pricing sentiments are generally positive, with many considering the tool to be a cost-effective solution given its functionalities, and it maintains a strong overall reputation in the AI community.
Mentions (30d)
0
Reviews
0
Platforms
1
GitHub Stars
55,249
10,631 forks
Ultralytics is recognized for its powerful AI capabilities, particularly in enhancing efficiency and accuracy in machine learning projects. Users appreciate its user-friendly interface, which makes sophisticated AI accessible even to those with less technical expertise. Key complaints revolve around occasional bugs and limited customer support options. Pricing sentiments are generally positive, with many considering the tool to be a cost-effective solution given its functionalities, and it maintains a strong overall reputation in the AI community.
Features
Use Cases
Industry
information technology & services
Employees
52
Funding Stage
Series A
Total Funding
$30.0M
10,355
GitHub followers
50
GitHub repos
55,249
GitHub stars
7
npm packages
29
HuggingFace models
Pricing found: $0, $25, $5, $20, $29
Repository Audit Available
Deep analysis of ultralytics/ultralytics — architecture, costs, security, dependencies & more
Yes, Ultralytics offers a free tier. Pricing found: $0, $25, $5, $20, $29
Key features include: Object detection, Instance segmentation, Image classification, Pose estimation, Oriented object detection, AI in Robotics, AI in Logistics, AI in Retail.
Ultralytics is commonly used for: AI in Robotics, Pixelabs achieves 95% recall with Ultralytics YOLO-driven automation, SiteAssist improves site safety by processing 770K+ images with Ultralytics YOLO, Chef Robotics uses Ultralytics YOLO to cut food giveaway by 67%, Cali Intelligence shortens checkout queues by 43% with Ultralytics YOLO, MarineSitu hits 96%+ uptime in underwater monitoring using Ultralytics YOLO.
Ultralytics integrates with: TensorFlow, PyTorch, OpenCV, Keras, Flask, Django, AWS, Google Cloud, Azure, Docker.
Ultralytics has a public GitHub repository with 55,249 stars.