Label Objects and Save Time (LOST) - Web版半自动图像标注框架

Label Objects and Save Time (LOST) - Web版半自动图像标注框架

LOST - Label Objects and Save Time

Demo Videos

LOST Trailer: https://youtu.be/alocNFQmVQwLOST Single Image Annotation - Pipeline Demo: https://youtube.com/watch?v=DfDla2hAfWwLOST Multi Image Annotation - Pipeline Demo: https://youtube.com/watch?v=Q-IpGtH6Xz0

Description

LOST (Label Object and Save Time) is a flexible web-based framework for semi-automatic image annotation. It provides multiple annotation interfaces for fast image annotation.

LOST is flexible since it allows to run user defined annotation pipelines where different annotation interfaces/ tools and algorithms can be combined in one process.

It is web-based since the whole annotation process is visualized in your browser. You can quickly setup LOST with docker on your local machine or run it on a web server to make an annotation process available to your annotators around the world. LOST allows to organize label trees, to monitor the state of an annotation process and to do annotations inside the browser.

LOST was especially designed to model semi-automatic annotation pipelines to speed up the annotation process. Such a semi-automatic can be achieved by using AI generated annotation proposals that are presented to an annotator inside the annotation tool.

Getting Started

If you feel LOST, please find our full documentation here: https://lost.readthedocs.io.

LOST QuickSetup

LOST releases are hosted on DockerHub and shipped in Containers. For a quick setup perform the following steps (these steps have been tested for Ubuntu):

Install docker on your machine or server: https://docs.docker.com/install/ Install docker-compose: https://docs.docker.com/compose/install/ Clone LOST: git clone https://github.com/l3p-cv/lost.git Run quick_setup script: cd lost/docker/quick_setup/# python3 quick_setup.py path/to/install/lostpython3 quick_setup.py ~/lost Run LOST: Follow instructions of the quick_setup script, printed in the command line.

Contact

We've created a chat room for you. Feel free to contact us directly: https://gitter.im/l3p-cv/lost

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