Plates and vehiclesComputer visionDocuments and OCR

PP-Vehicle (PaddleDetection)

A ready set of models for vehicle tasks: plate recognition, car color and type, counting entries and exits, spotting parking where it is not allowed. Filming vehicles and people is personal data processing: agree the procedure with a lawyer.

Developer
PaddlePaddle (Baidu), China
First release
Sep 2022
Latest release
Mar 2026
Sizes
a set of models: vehicle detector, attributes, plate reading on PP-OCR
License
Commercial use allowedApache 2.0
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Manufacturing and logistics, Security, Public sector, Retail and marketplaces
Deploy on your server GitHub

What it does

  • Counting traffic flow
  • Identifying car type and color
  • Reading the plate at the entrance
  • Monitoring parking in restricted zones

Where it is used

Warehousing and logisticsParking lots and company premisesRoad servicesShopping centres

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
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. 2.9.0
  2. 2.8.1
  3. 2.8.0
  4. 2.7.0
  5. 2.6.0
  6. PaddleDetection 2.5 с конвейером PP-Vehicle

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 PP-Vehicle (PaddleDetection) 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 PP-Vehicle (PaddleDetection) 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 PP-Vehicle (PaddleDetection) support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download PP-Vehicle (PaddleDetection) and what does it cost?

The PP-Vehicle (PaddleDetection) 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: github.com/PaddlePaddle/PaddleDetection/releases. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.