See how project setups work

Set up your project in just a few steps.

Create a team

Choose who’s going to be working on your project and assign them roles.

Set up a project

Create a project, invite users, and import data from your local or cloud storage.

Organize and assign your data

Organize your data into folders and assign each folder to an annotator and annotation QA.

Supporting all project and data types

SuperAnnotate supports the most common data types and file formats, making it possible to power all industries and use cases.

Image
annotation tool

Video
annotation tool

Text
annotation tool

Audio
annotation tool

LiDAR
annotation tool

Custom
annotation tool

Upload any type of file

JPG

JPEG

PNG

WEBP

TIFF

TIF

BMP

OGG

WEBM

MP4

WAV

FLAC

TXT

DCM

DICOM

HTML

PDF

DZI

Request Demo

Powering your project with quality management tools

Manage your annotation data

Control the quality of your annotations and curate healthy datasets for your models.

Curate data

Find relevant data easily and create the right subset of data for your model with queries. You can query data by item status, annotator email, folder name, and more.

Monitor data quality

Visualize your annotations and do a faster, more thorough quality check all in one place. You can approve and disapprove annotations and items, change the status of items, set priority scores, and more.

Comprehensive quality assurance review

Guarantee an effective and thorough review with a multi-level quality assurance process.

Multi-level QA review

Get your data across multiple roles (annotator, annotation QA, and project admin) for a more effective quality review.

Automated QA process

The quality assurance review is a fully automated process. Once you approve or disapprove your data, it’ll be automatically sent to the next stage or sent back for a review.