简体中文 | English

Introduction

LabelU is an open source data annotation tool that supports Chinese. At present, it has image annotation capabilities such as rectangle, polygon, point, line, classification, description. It can support detection, classification, segmentation, text transcription, Line detection, key point detection and other computer vision task scenarios. You can customize the annotation task by freely combining tools, and support COCO and MASK format data export.

Getting started

Download and Install miniconda

https://docs.conda.io/en/latest/miniconda.html

Create virtual environment(python = 3.10)

conda create -n labelu python=3.10

Activate virtual environment

conda activate labelu

Install labelu

pip install labelu

Start labelu，server：http://localhost:8000

labelu

feature

• Uniform，Six image annotation tools are provided, which can be configured through simple visualization or Yaml
• Unlimited，Multiple tools can be freely combined to meet most image annotation requirements

• Universal，Support multiple data export formats, including LabelU, COCO, Mask

Scenes

Computer Vision

• Detection: Detection scenes for vehicles, license plates, pedestrians, faces, industrial parts, etc.
• Classification: Detection of object classification, target characteristics, right and wrong judgments, and other classification scenarios
• Semantic segmentation: Human body segmentation, panoramic segmentation, drivable area segmentation, vehicle segmentation, etc.
• Text transcription: Text detection and recognition of license plates, invoices, insurance policies, signs, etc.
• Contour detection: positioning line scenes such as human contour lines, lane lines, etc.
• Key point detection: positioning scenes such as human face key points, vehicle key points, road edge key points, etc.

Usage

• Guide

Annotation Format

• LabelU Annotation Format

Communication

Welcome to the Opendatalab Wechat group！

Links

• labelU-Kit（Powered by labelU-Kit）

LICENSE

This project is released under the Apache 2.0 license.