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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 Kognic?
Kognic offers an advanced annotation platform specifically designed for sensor-fusion data, aiming to significantly reduce both the time and cost associated with data labeling while delivering high-quality outcomes. This versatile platform meets a diverse array of data labeling needs, ranging from basic static objects to complex scenarios, and features capabilities for handling 2D and 3D objects, 2D instance segmentation, as well as free space annotations. A notable attribute of this platform is the co-pilot functionality, which leverages imported predictions to automate various tasks, resulting in a potential reduction of annotation time by up to 68% without compromising quality. This automation not only streamlines processes but also allows for more meaningful human feedback where it is most impactful, improving overall operational efficiency. Furthermore, Kognic prioritizes the enhancement of critical data to increase the effectiveness of AI, employing intelligent sorting based on model confidence and loss metrics, advanced filtering options for both predicted and annotated entities, and seamless data chunk generation for concentrated reviews. Tailored for enterprise requirements, Kognic is designed to support large-scale operations globally, providing a powerful solution for organizations eager to refine their data annotation workflows. By optimizing these workflows, Kognic not only boosts productivity but also fosters innovation within the realm of AI applications, paving the way for advancements in technology. As a result, organizations can leverage this platform to maintain competitive advantages in an ever-evolving data landscape.
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
Kognic
Date Founded
2018
Company Location
Sweden
Company Website
www.kognic.com
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