Nomeroff Net

Nomeroff Net. Automatic numberplate recognition system.
Alternatives To Nomeroff Net
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Insightface18,230195 days ago28December 17, 2022977mitPython
State-of-the-art 2D and 3D Face Analysis Project
2 years ago14C++
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Deep Text Recognition Benchmark3,412
a month ago217apache-2.0Jupyter Notebook
Text recognition (optical character recognition) with deep learning methods.
Lstm Human Activity Recognition3,074
a year ago19mitJupyter Notebook
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
3 months ago84mitPython
[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
Celebamask Hq1,456
2 years ago49Python
A large-scale face dataset for face parsing, recognition, generation and editing.
Entity Recognition Datasets1,365
a month ago7mitPython
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
Real World Masked Face Dataset1,100
3 years ago32Python
Real-World Masked Face Dataset,口罩人脸数据集
Bert Ner1,000
3 years ago71mitPython
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
2 years ago60mitPython
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Alternatives To Nomeroff Net
Select To Compare

Alternative Project Comparisons

Nomeroff Net

Nomeroff Net. Automatic numberplate recognition system

Nomeroff Net. Automatic numberplate recognition system. Version 3.4.1

Now there is a war going on in our country, russian soldiers are shooting at civilians in Ukraine. Enemy aviation launches rockets and drops bombs on residential quarters.
We are deeply thankful for the unprecedented wave of support for Ukraine from around the world. Below is a list of funds that help the Ukrainian army in the fight against Russian invaders: Russian troops shelling of civilians in Ukraine. Donbass. Kostyantynivka. 09.07.2022 Photo: Konstantin Liberov


Nomeroff Net is an opensource python license plate recognition framework based on YOLOv5 and CRAFT networks and customized OCR-module powered by RNN architecture.

Write to us if you are interested in helping us in the formation of a dataset for your country.

Change History.


Installation from Source (Linux)

Nomeroff Net requires Python >= 3.7

Clone Project

git clone
cd nomeroff-net

For Centos, Fedora and other RedHat-like OS:

# for Opencv
yum install libSM

# for pycocotools install 
yum install python3-devel 

# ensure that you have installed gcc compiler
yum install gcc

yum install git

# Before "yum install ..." download to /etc/yum.repos.d/
yum install libjpeg-turbo-official

install requirements:

pip3 install -r requirements.txt 

For Ubuntu and other Debian-like OS:

# ensure that you have installed gcc compiler
apt-get install gcc

# for opencv install
apt-get install -y libglib2.0
apt-get install -y libgl1-mesa-glx

# for pycocotools install (Check the name of the dev-package for your python3)
apt-get install python3.7-dev

# other packages
apt-get install -y git
apt-get install -y libturbojpeg

install requirements:

pip3 install -r requirements.txt 

Hello Nomeroff Net

from nomeroff_net import pipeline
from import unzip

number_plate_detection_and_reading = pipeline("number_plate_detection_and_reading", 

(images, images_bboxs, 
 images_points, images_zones, region_ids, 
 region_names, count_lines, 
 confidences, texts) = unzip(number_plate_detection_and_reading(['./data/examples/oneline_images/example1.jpeg', 

Hello Nomeroff Net for systems with a small GPU size.

Note: This example disables some important Nomeroff Net features. It will recognize numbers that are photographed in a horizontal position.

from nomeroff_net import pipeline
from import unzip

number_plate_detection_and_reading = pipeline("number_plate_short_detection_and_reading", 

(images, images_bboxs,
 zones, texts) = unzip(number_plate_detection_and_reading(['./data/examples/oneline_images/example1.jpeg', 
# (['AC4921CB'], ['RP70012', 'JJF509'])

More Examples

Online Demo

In order to evaluate the quality of work of Nomeroff Net without spending time on setting up and installing, we made an online form in which you can upload your photo and get the recognition result online

AUTO.RIA Numberplate Dataset

All data on the basis of which the training was conducted is provided by In the following, we will call this data the AUTO.RIA Numberplate Dataset.

We will be grateful for your help in the formation and layout of the dataset with the image of the license plates of your country. For markup, we recommend using VGG Image Annotator (VIA)

Dataset Example: Nomeroff-Net Segment Example

AUTO.RIA Numberplate Options Dataset

The system uses several neural networks. One of them is the classifier of numbers at the post-processing stage. It uses dataset AUTO.RIA Numberplate Options Dataset.

The categorizer accurately (99%) determines the country and the type of license plate. Please note that now the classifier is configured mainly for the definition of Ukrainian numbers, for other countries it will be necessary to train the classifier with new data.

Nomeroff-Net OCR Example

AUTO.RIA Numberplate OCR Datasets

As OCR, we use a specialized implementation of a neural network with RNN layers, for which we have created several datasets:

If we did not manage to update the link on dataset you can find the latest version here

This gives you the opportunity to get 99% accuracyon photos that are uploaded to AUTO.RIA project

Nomeroff-Net OCR Example


Contributions to this repository are welcome. Examples of things you can contribute:

  • Training on other datasets.
  • Accuracy Improvements.



Popular Recognition Projects
Popular Dataset Projects
Popular Machine Learning Categories

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.