Computer vision

YOLO (Ultralytics)

The most widely used real-time object detector: finds and marks items in video even on modest hardware. YOLOv5 came out back in 2020; the catalog starts from YOLOv8.

Developer
Ultralytics, USA
First release
Jan 2023
Latest release
Jan 2026
Sizes
2.4M – 68M
License
Commercial use with conditionsAGPL-3.0 (you would have to open your product's code) or a paid Ultralytics enterprise license
Running
On your own serverAlso runs without a GPU
Industries
Manufacturing and logistics, Retail and marketplaces, Security
Deploy on your server Hugging Face GitHub

What it does

  • Counting people, cars and goods on video
  • Checking hard hats and workwear
  • Spotting defects on the production line
  • Shelf display checks

Where it is used

ManufacturingRetail and warehousesSecurity and video surveillanceTransport

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. YOLO26
  2. YOLO11
  3. YOLOv8

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can YOLO (Ultralytics) be used in a commercial project?

With conditions. License: AGPL-3.0 (you would have to open your product's code) or a paid Ultralytics enterprise license. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does YOLO (Ultralytics) need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does YOLO (Ultralytics) support Russian?

Language does not matter for this model: it does not work with text.

Where can I download YOLO (Ultralytics) and what does it cost?

The YOLO (Ultralytics) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Comparisons

Similar models

Computer visionRF-DETRRoboflow · USACommercial use allowed

Real-time object detector, an open alternative to YOLO without AGPL. Supports segmentation (object outlines) and, since 2026, keypoints.

DetailsComputer visionGrounding DINO / Rex-OmniIDEA Research · ChinaCommercial use with conditions

Finds any objects in an image from a text description, without training on your data: "red box", "person without a hard hat". Rex-Omni is the new VLM-based generation.

Details

Source: huggingface.co/Ultralytics/YOLO26. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.