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Ultralytics YOLO

Ultralytics YOLO, the leader in computer vision

Production-proven computer vision, relied on by millions of developers and leading enterprises. License it for your own stack, or build on Ultralytics Platform.

Trusted by the world's leading organizations

The standard for every vision task. Seven tasks, one model family, from cloud to edge.

Object detection: metal castings on a conveyor belt, with bounding boxes labeled part_damaged and crack.
Instance segmentation: panoramic dental X-ray with teeth segmented by individual masks and numbered tooth labels.
Semantic segmentation: highway scene colored by class, vehicles and trees in green, road in blue, roadsides in pink.
Depth estimation: warehouse workers in hard hats as a depth map, nearest people in warm colors, background in blue.
Image classification: yellow package on a curved conveyor belt, classified as box.
Pose estimation: warehouse worker in a hard hat and safety vest carrying a box on one shoulder, with body keypoints joined into a skeleton.
Oriented object detection (OBB): aerial view of solar panels on a dark shingled roof, each detected with a rotated box labeled panel.

Our models' impact

Streamline processes across industries with our cutting-edge vision AI models. Speed, accuracy and ease-of-use powered by Ultralytics.

139K+
GitHubGitHub stars
342.9M+
Downloads
4.2B+
Ultralytics YOLO usages / day
1.2K+
Open-source contributors
Ultralytics YOLO licensing

Integrate YOLO into systems you already have

Ship Ultralytics YOLO in your own solutions, with an Enterprise License for commercial use.

  • Commercial use: No AGPL-3.0 obligations for closed source.
  • Your infrastructure: On-premise, edge, or your own cloud.
  • 22 export formats: ONNX, TensorRT, CoreML, and more.
  • Dedicated support: Custom SLAs and direct engineer access.
Ultralytics logo connected to Annotate, Train, and Deploy.
Ultralytics Platform

Annotate, train, and deploy in one place

Label data, train on cloud GPUs, and deploy globally, with no infrastructure needed.

Our customers

Start with open models, add enterprise terms

The models developers build on

Ultralytics YOLO is the default starting point for real-time detection across 7 tasks, from research to production.

Python code that loads a YOLO26 model and ships it to production, commented with Ultralytics Enterprise License.

License it for production

Remove open-source obligations, with dedicated support, custom SLAs, and on-premise deployment.

Security & compliance

Enterprise-grade security, certified

Independently certified and audited, so your data stays protected in transit and at rest.

SOC 2 Type I

Attested against AICPA Security, Availability, and Confidentiality TSC

ISO 27001:2022

Certified information security management system

Encryption

Data encrypted in transit and at rest, across all storage and transport

GDPR & CCPA

Aligned with global data protection regulations

Where Ultralytics YOLO delivers results

Computer vision in logistics

Fewer supply chain errors

From the warehouse floor to the loading dock, Ultralytics YOLO automates counting, sorting, and inspection across every step of the supply chain.

  • Warehouse & inventory: Automate counts across every aisle.
  • Parcel & baggage: Detect and spot damage at conveyor speed.
  • Transport maintenance: Catch faults on vehicles early.
  • Loading docks: Verify loads and track vehicle dwell times.
  • License plate recognition: Automate gate access and yard management.
Move goods faster with Ultralytics YOLO

What our clients say

The Ultralytics Platform has been a game changer for us. It makes it so easy for our data scientists to create datasets, train new models quickly using cloud compute, compare experiments with different model settings, and ultimately identify the best model for each problem. It has become our first stop for experimentation for object detection, instance segmentation, and semantic segmentation.

Tyler Biesel, Manager Software Engineering

Ultralytics YOLO is a key component of SK Godelius’ computer vision pipeline alongside multimodal sensing, giving us the accuracy to identify exactly which parts are failing, keeping workers safe and our inspections consistent.
Ultralytics YOLO models helped us boost our AI service implementation speed by 25.2%. They are easy to deploy and provide excellent real-world performance, delivering greater speed, accuracy, and scalability without compromising operational performance.
With Ultralytics YOLOv8 nano, we can retrain on the edge and ship a new model in hours instead of weeks, transferring a fraction of the data. That combination of accuracy and a tiny footprint is exactly what our environments need.
The performance of Ultralytics YOLO models on our STM32 microcontrollers opens up new horizons for computer vision at the edge. With streamlined integration and support for multiple model variants, developers have exactly what they need to build scalable and responsive embedded vision solutions.
Integrating Ultralytics YOLO into our Instabase AI platform has been an easy and painless process. It helped accelerate the release schedule and enable us to deliver visual object recognition capabilities to our customers.
They transform visual data into actionable insights with exceptional accuracy and efficiency. By combining Ultralytics YOLOv8 with the IMX500 sensor from SSS (Sony Semiconductor Solutions Corporation), this partnership brings powerful, on-device AI capabilities that enhance real-time decision-making for businesses relying on high-performance visual data processing.

Wei Tang, Business Development Manager

Ultralytics' YOLO models are game-changers in the AI industry. The YOLOv5 and YOLOv8 models are favored by developers for their ease of use, state-of-the-art performance, and accuracy. Paired with OpenVINO, these models offer the potential for the best out-of-the-box performance on modern CPUs.

Frequently asked questions

  • Free use, including experimentation and evaluation, requires releasing your entire project's source code under AGPL-3.0, including models you train. For closed-source evaluation or deployment, request an Ultralytics Enterprise License.

  • YOLO runs on CPUs, NVIDIA GPUs, Jetson and Raspberry Pi. The Python package trains and runs models on your own hardware without collecting your images. Platform deploys to 42 global regions, and Enterprise offers on-premises data and compute options.

  • Install the open-source package with pip install ultralytics and follow the training guide, or use Platform to upload images, label them with smart annotation and train on cloud GPUs.

  • For new projects, start with YOLO26. YOLO11, YOLOv8 and YOLOv5 remain supported for existing workflows. Sizes range from nano to extra-large: smaller models run faster on edge devices, larger ones can be more accurate. Compare models.

  • The Free plan has no subscription fee; cloud training and deployments use credits. Free and Pro plans carry AGPL-3.0 open-source obligations, so only Enterprise includes a commercial license. Compare plans.

  • Ultralytics builds Ultralytics YOLO, real-time computer vision models used by millions of developers, and Ultralytics Platform, where you annotate data, train on cloud GPUs and deploy. Use YOLO through the open-source Python package, or the whole workflow in your browser with Platform.

  • Each license is quoted for your organization's size and use case, and covers current and future YOLO models released during the license term. Request a quote.

Build on the models the industry already uses

Talk to our team about licensing Ultralytics YOLO for your products, or start on Ultralytics Platform.