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Description
Introducing the ultimate data annotation tool that offers unparalleled flexibility and ease of installation. Users can create customized user interfaces or opt for ready-made labeling templates tailored to their specific needs. The adaptable layouts and templates seamlessly integrate with your dataset and workflow requirements. It supports various object detection methods in images, including boxes, polygons, circles, and key points, and allows for the segmentation of images into numerous parts. Additionally, machine learning models can be utilized to pre-label data and enhance efficiency throughout the annotation process. Features such as webhooks, a Python SDK, and an API enable users to authenticate, initiate projects, import tasks, and manage model predictions effortlessly. Save valuable time by leveraging predictions to streamline your labeling tasks, thanks to the integration with ML backends. Furthermore, users can connect to cloud object storage solutions like S3 and GCP to label data directly in the cloud. The Data Manager equips you with advanced filtering options to effectively prepare and oversee your dataset. This platform accommodates multiple projects, diverse use cases, and various data types, all in one convenient space. By simply typing in the configuration, you can instantly preview the labeling interface. Live serialization updates at the bottom of the page provide a real-time view of what Label Studio anticipates as input, ensuring a smooth user experience. This tool not only improves annotation accuracy but also fosters collaboration among teams working on similar projects.
Description
People For AI is data labelling company. Our service will provide you with high-quality data to train your computer vision, NLP, or speech recognition algorithms.
We use AI-powered tools for data labeling that are tailored to your task. You data is in safe hands with the right tool, team and methodology.
We only hire long-term labelers and are therefore specialists in high-value data annotating. However, we can manage all types of projects. Visit our website to learn more about our labelers.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon S3
Yes
Azure Blob Storage
Yes
Docker
Yes
Flair
Yes
Galileo AI
Yes
Hugging Face
Yes
Kili Technology
No
Kubernetes
Yes
Lightly
Yes
Lightly
Yes
Integrations
Amazon S3
No
Azure Blob Storage
No
Docker
No
Flair
No
Galileo AI
No
Hugging Face
No
Kili Technology
Yes
Kubernetes
No
Lightly
No
Lightly
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
Free trials are available,
POC project (under 1000€) are availables.
Production project begin from 200 hours of labeling.
POC project (under 1000€) are availables.
Production project begin from 200 hours of labeling.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Label Studio
Country
United States
Website
labelstud.io
Vendor Details
Company Name
People For AI
Founded
2020
Country
France
Website
peopleforai.com
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Product Features
Data Labeling
Human-in-the-loop
Yes
Labeling Automation
Yes
Labeling Quality
Yes
Performance Tracking
Yes
Polygon, Rectangle, Line, Point
Yes
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
Yes
Training Data Management
No
