People For AI Reviews & Ratings

People For AI

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 14 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 4.5 out of 5 stars
design 4.5 out of 5 stars
support 5 out of 5 stars

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What is Supervisely?

Our leading-edge platform designed for the entire computer vision workflow enables a transformation from image annotation to accurate neural networks at speeds that can reach ten times faster than traditional methods. With our outstanding data labeling capabilities, you can turn your images, videos, and 3D point clouds into high-quality training datasets. This not only allows you to train your models effectively but also to monitor experiments, visualize outcomes, and continuously refine model predictions, all while developing tailored solutions in a cohesive environment. The self-hosted option we provide guarantees data security, offers extensive customization options, and ensures smooth integration with your current technology infrastructure. This all-encompassing solution for computer vision covers multi-format data annotation and management, extensive quality control, and neural network training within a single platform. Designed by data scientists for their colleagues, our advanced video labeling tool is inspired by professional video editing applications and is specifically crafted for machine learning uses and beyond. Additionally, with our platform, you can optimize your workflow and markedly enhance the productivity of your computer vision initiatives, ultimately leading to more innovative solutions in your projects.

What is People For AI?

People For AI specializes in data labeling services designed to deliver exceptional datasets for the training of computer vision, natural language processing, or speech recognition systems. Our advanced AI-driven tools are specifically adapted to meet the unique requirements of your project, ensuring that your data is meticulously handled with the appropriate technology, skilled personnel, and effective strategies. We prioritize long-term labelers, which allows us to excel in providing high-quality data annotation, but we are also equipped to handle a diverse range of projects. For further information about our dedicated team of labelers and our comprehensive services, please explore our website. Additionally, we pride ourselves on maintaining a rigorous quality assurance process to guarantee the highest standards in data labeling.

Media

Media

No images available

Integrations Supported

Integrations Supported

Kili Technology
Labelbox
SuperAnnotate
V7 Darwin

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free trials are available,
POC project (under 1000€) are availables.
Production project begin from 200 hours of labeling.
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Supervisely

Date Founded

2017

Company Location

United States

Company Website

supervise.ly/

Company Facts

Organization Name

People For AI

Date Founded

2020

Company Location

France

Company Website

peopleforai.com

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Data Annotation

Not specified

Data Labeling

Labeling Automation
Labeling Quality
Supports Audio Files
Task Management
Team Collaboration

Image Annotation

Not specified

Image Recognition

Not specified

Machine Learning

Not specified

Neural Network

Not specified

Video Annotation

Not specified

Categories and Features

Data Annotation

Not specified

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
Team Collaboration

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