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About

With Automaton AI’s ADVIT, create, manage and develop high-quality training data and DNN models all in one place. Optimize the data automatically and prepare it for each phase of the computer vision pipeline. Automate the data labeling processes and streamline data pipelines in-house. Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the deep learning pipeline. Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy. Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for auto-labeling.

About

People For AI is labeling your data. Using our service, you will obtain high-quality training data for your computer vision, NLP or speech recognition algorithms. We use AI-powered data labeling tools that are adapted to your task. With the right tool, the right team and our methodology, you data is in good hands. As we only hired long-term labelers, we specialized in high-value data annotation, however we can manage any kind of projects. Check our CSR report on our website to know more about our labelers!

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations in need of a unified platform to develop a complete deep learning lifecycle

Audience

AI Team Lead, CTOs, Data scientists, Computer vision Engineers, AI-first companies

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free trials are available,
POC project (under 1000€) are availables.
Production project begin from 200 hours of labeling.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 4.7 / 5
features 4.6 / 5
design 4.6 / 5
support 4.9 / 5

Pros & Cons from Real Users

Pros

  • - open to the understanding of the client's needs - provided high-quality service - delivery time was always within the expectation - open to further discussions and refinements
  • It is a real pleasure to work with PFAI: - They are always nice and swift in their responses. - It is super easy and quick to set up a new annotation project with them. - They deliver high quality.
  • The contact was really good. Quick, and arranged video calls with sole purpose to understand my needs precisely. Labeling project went swiftly and I had no doubts about the quality of data I received. I felt like they really cared to deliver best to my needs and no detail was omitted.
  • I have worked with People For AI on a complex computer vision project that required significant learning on unusual data with precise labeling. They quickly set up a labeling tool that was well-suited to our use case, which helped us efficiently incorporate the annotation tasks into our training pipeline. The labeling team asked many questions, showed a keen attention to detail, and considered edge cases thoroughly. They achieved impressive results after only a few days of training. It was also beneficial to have direct communication with the project manager in charge of production, allowing for immediate feedback and daily updates on progress. For the second labeling task, which occurred 18 months later, I was pleased to discover that the same team was once again involved in the project.
  • We really liked the ethics of the company, as well as their long-term approach to work and their people. They were fast to respond to our queries, and were able to get work done rapidly to meet the demand of our own customers. The people doing the labelling work were quick to respond to new feedback to improve the labelling being done. They were flexible to adapt to using our custom-designed tools. They provided us with detailed information about the labelling work being done.

Cons

  • I cannot se any cons in working with People For AI.
  • I cannot think of any cons in working with PFAI and have nothing to complain about.
  • Maybe teams english was difficult to understand sometimes, but I don't think that matters.
  • There is nothing that comes to my mind regarding the cons of using the data annotation services provided by People for AI.
  • Some sort of integrated web-based platform to see work in progress would be nice, but this did not prevent People for AI from sharing information with us by other means (e.g. shared spreadsheets).

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Automaton AI
Founded: 2019
India
automatonai.com

Company Information

People For AI
Founded: 2020
France
peopleforai.com

Alternatives

Alternatives

Mindkosh

Mindkosh

Mindkosh AI
Cogito

Cogito

Cogito Tech LLC

Categories

Categories

Data Labeling Features

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Integrations

Kili Technology
Labelbox
SuperAnnotate
V7 Darwin

Integrations

Kili Technology
Labelbox
SuperAnnotate
V7 Darwin
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Claim Automaton AI and update features and information
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