Plates and vehiclesComputer vision

ViT Vehicle Classifiers (dima806)

Two simple photo classifiers: vehicle type and car brand. Trained on public datasets, so check them on your own footage before use. Filming vehicles and people is personal data processing: agree the procedure with a lawyer.

Developer
dima806 (open project), not disclosed
First release
Nov 2023
Latest release
Oct 2024
Sizes
based on ViT-base (google/vit-base-patch16-224-in21k)
License
Commercial use allowedApache 2.0
Running
On your own serverAlso runs without a GPU
Industries
Retail and marketplaces, Manufacturing and logistics, Finance, Security
Deploy on your server Hugging Face

What it does

  • Identifying the vehicle type from a photo
  • Pre-labelling the car brand
  • Going through photos in listings and applications
  • Using as an example for fine-tuning to your own class list

Where it is used

Car dealers and classifieds platformsInsurance and appraisalWarehousing and logisticsSite security

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. Классификатор марок автомобилей
  2. Классификатор типов транспорта

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 ViT Vehicle Classifiers (dima806) be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does ViT Vehicle Classifiers (dima806) 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 ViT Vehicle Classifiers (dima806) support Russian?

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

Where can I download ViT Vehicle Classifiers (dima806) and what does it cost?

The ViT Vehicle Classifiers (dima806) 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.

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Details

Source: huggingface.co/dima806/car_brands_image_detection. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.