People For AI Reviews & Ratings

People For AI

5.0 out of 5 stars

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

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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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.

What is Automaton AI?

With Automaton AI's ADVIT, users can easily generate, oversee, and improve high-quality training data along with DNN models, all integrated into one seamless platform. This tool automatically fine-tunes data and readies it for different phases of the computer vision pipeline. It also takes care of data labeling automatically and simplifies in-house data workflows. Users are equipped to manage both structured and unstructured datasets, including video, image, and text formats, while executing automatic functions that enhance data for every step of the deep learning journey. Once the data is meticulously labeled and passes quality checks, users can start training their own models. Effective DNN training involves tweaking hyperparameters like batch size and learning rate to ensure peak performance. Furthermore, the platform facilitates optimization and transfer learning on pre-existing models to boost overall accuracy. After completing training, users can effortlessly deploy their models into a production environment. ADVIT also features model versioning, which enables real-time tracking of development progress and accuracy metrics. By leveraging a pre-trained DNN model for auto-labeling, users can significantly enhance their model's precision, guaranteeing exceptional results throughout the machine learning lifecycle. Ultimately, this all-encompassing solution not only simplifies the development process but also empowers users to achieve outstanding outcomes in their projects, paving the way for innovations in various fields.

Media

No images available

Media

Integrations Supported

Kili Technology
Labelbox
SuperAnnotate
V7 Darwin

Integrations Supported

API Availability

API Availability

Pricing Information

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

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

People For AI

Date Founded

2020

Company Location

France

Company Website

peopleforai.com

Company Facts

Organization Name

Automaton AI

Date Founded

2019

Company Location

India

Company Website

automatonai.com

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

Categories and Features

Data Annotation

Not specified

Data Labeling

Not specified

Deep Learning

Not specified

Image Annotation

Not specified

Machine Learning

Not specified

Neural Network

Not specified

Video Annotation

Not specified

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