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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Kognic presents a state-of-the-art annotation platform tailored for sensor-fusion data, with the goal of minimizing both annotation time and expenses while ensuring premium quality results. This platform caters to a wide range of data labeling requirements, addressing everything from straightforward static objects to intricate scenarios, and includes features for 2D/3D objects, 2D instance segmentation, and free space annotations. One of its standout features is the co-pilot functionality, which utilizes imported predictions to automate processes, thereby cutting down annotation time by as much as 68% while still upholding quality standards. This automated approach allows for more effective human feedback where it truly counts, enhancing overall efficiency. In addition, Kognic places a strong emphasis on refining essential data to boost AI effectiveness, incorporating intelligent sorting based on model confidence and loss metrics, advanced filtering capabilities for both predicted and annotated objects, and seamless data chunk creation for focused reviews. Designed with enterprise needs in mind, Kognic is built to support missions at a global scale, making it a robust solution for organizations seeking to optimize their data annotation processes. By streamlining these processes, Kognic not only enhances productivity but also helps drive innovation in AI applications.

Description

Facilitate a variety of annotation types for both images and videos through a flexible, open-source web-based tool. This tool is designed to scale and supports user-friendly “click and drag” functionalities, allowing for the addition of multiple attributes with ease. It incorporates features that enable the fitting of boundaries using Bezier curves and the ability to duplicate shared boundaries. Users can annotate the specific areas where a driver is operating and mark lane lines to enhance vision-based vehicle localization and trajectory planning. An intuitive four-click method is employed to accurately encapsulate objects of interest, while advanced algorithms predict annotations across frames by utilizing object tracking and interpolation techniques for bounding boxes. It also offers prediction capabilities for individual object instances, with 2D tracking functionalities expanded into a three-dimensional context, enhancing the overall annotation process. This comprehensive tool aims to streamline the workflow for users involved in image and video annotation tasks.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kognic

Founded

2018

Country

Sweden

Website

www.kognic.com

Vendor Details

Company Name

Scalabel

Website

www.scalabel.ai/

Product 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

Product 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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Alternatives

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