Plates and vehiclesComputer vision

Open Image Models

Ready-made ONNX detectors that find the license plate in a frame, plus general object detectors. Filming vehicles and people and storing the records is personal data processing: agree the procedure with a lawyer.

Developer
ankandrew (open project), not disclosed
First release
Sep 2024
Latest release
Jul 2026
Sizes
YOLO-v9 detectors at input sizes from 256 to 640 pixels
License
Commercial use allowedMIT
Running
On your own serverAlso runs without a GPU
Industries
Manufacturing and logistics, Security, Retail and marketplaces, Public sector
Deploy on your server GitHub

What it does

  • Finding the plate in a camera frame
  • Preparing a crop for character reading
  • Picking frames with vehicles out of a video stream
  • Running detection on modest hardware

Where it is used

Warehousing and logisticsSite security and checkpointsParking lots and barriersRoad services

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. v0.6.0
  2. v0.5.1
  3. v0.4.0
  4. Первые открытые веса (релиз assets)

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.
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 Open Image Models be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Open Image Models 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 Open Image Models support Russian?

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

Where can I download Open Image Models and what does it cost?

The Open Image Models 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.

Similar models

Plates and vehiclesFastPlateOCRankandrew (open project) · not disclosedCommercial use allowed

Lightweight models that read characters from an already cropped license plate and run on an ordinary CPU. Filming vehicles and people and storing such records is personal data processing: agree the procedure and retention with a lawyer.

DetailsPlates and vehiclesFastALPRankandrew (open project) · not disclosedCommercial use allowed

A ready pipeline for plate recognition: plate detector and character reading in one package, with your own models pluggable. Filming vehicles and people and storing the records is personal data processing: agree the procedure with a lawyer.

DetailsComputer visionYOLO (Ultralytics)Ultralytics · USACommercial use with conditions

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.

Details

Source: github.com/ankandrew/open-image-models/releases. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.