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What is Segments.ai?

Segments.ai delivers a comprehensive solution for annotating multi-sensor data by integrating 2D and 3D point cloud labeling into a single interface. The platform boasts impressive capabilities such as automated object tracking, intelligent cuboid propagation, and real-time interpolation, which facilitate faster and more precise labeling of intricate datasets. Specifically designed for sectors like robotics and autonomous vehicles, it streamlines the annotation process for data that relies heavily on various sensors. By merging 3D information with 2D visuals, Segments.ai significantly improves the efficiency of the labeling process while maintaining the high standards necessary for effective model training. This innovative approach not only simplifies the user experience but also enhances the overall data quality, making it invaluable for industries reliant on accurate sensor data.

What is Sanitas AI?

Harness the power of data science to elevate traditional knowledge and foster equitable health results for indigenous communities. Our mission is to seamlessly integrate research, healthcare, and data science to create a holistic approach. We are in the process of designing an all-encompassing data science platform specifically for the medical and research fields. By utilizing advanced techniques such as machine learning and generative AI, we aim to revolutionize these sectors and provide innovative solutions to our users. Our platform will enable individuals to efficiently manage, categorize, and analyze visual data, featuring automated image labeling and the generation of synthetic datasets based on user inputs. Soon, we will introduce capabilities for bias detection and enhance community collaboration. Furthermore, we are dedicated to developing solutions that prioritize social good, focusing on eliminating technological barriers while ensuring that our models are free from the algorithmic biases that often hinder progress. This initiative transcends mere technology; it is about empowering communities and ensuring equitable health outcomes for everyone involved, reinforcing the importance of inclusive practices in health and research. Through this commitment, we aim to create a more just and accessible future for all.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Hugging Face
Microsoft Azure
PyTorch
Python
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Hugging Face
Microsoft Azure
PyTorch
Python
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Segments.ai

Date Founded

2020

Company Location

Belgium

Company Website

segments.ai

Company Facts

Organization Name

Sanitas AI

Company Location

United States

Company Website

www.sanitas.ai/

Categories and Features

Computer Vision

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

Data Labeling

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

Categories and Features

Data Labeling

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

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