Label Studio is a multi-type data labeling and annotation tool with standardized output format

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A system for quickly generating training data with weak supervision

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

A curated list of awesome data labeling tools

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

Database system for AI-powered apps

Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

A lightweight tool for labeling 3D bounding boxes in point clouds.

My awesome point cloud labeling tool

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

An Integrated Experimental Platform for time series data anomaly detection.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Make drawing and labeling bounding boxes a piece of cake

🚤 Label data at scale. Fun and precision included.