Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

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

Database system for AI-powered apps

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

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.

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

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.

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 easy as cake

🚤 Label data at scale. Fun and precision included.

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

Control the quality of your labeled data with the Python tools you already know.

Django-based clone of Amazon's Mechanical Turk service running in your local environment.

Solving data for LLMs - Create quality synthetic datasets!

Little tools to download and then weed through images, delete and classify them into groups for building deep learning image datasets (based on crawler and tkinter)

A collaborative framework for annotating medical datasets using crowdsourcing.

Use ML-Annotate to label data for machine learning purposes

A Super-Lightweight Annotation Tool for Experts: Label text in a terminal with just Python