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What is Mindkosh?

Mindkosh serves as your ultimate data management solution, simplifying the processes of curating, tagging, and authenticating datasets for artificial intelligence projects. Our exceptional data annotation platform integrates collaborative features with AI-driven tools, offering a comprehensive suite for classifying various data formats, such as images, videos, and 3D point clouds derived from Lidar technology. With regard to images, Mindkosh provides cutting-edge semi-automated segmentation, pre-labeling of bounding boxes, and fully automated OCR functionalities. In the realm of video annotation, the use of automated interpolation by Mindkosh greatly minimizes the requirement for manual labeling efforts. For Lidar datasets, our single-click annotation functionality allows for rapid cuboid creation with just one click, enhancing efficiency. If your primary goal is to have your data labeled, our superior data annotation services, paired with an intuitive Python SDK and a user-friendly web-based review system, deliver an unparalleled experience that stands out in the industry. Additionally, we are dedicated to ensuring that our platform continuously evolves to meet the changing demands of data management in AI applications.

What is Google Cloud Video AI?

Sophisticated video analysis systems are capable of recognizing more than 20,000 distinct objects, places, and activities within video footage. These technologies facilitate the extraction of detailed metadata at various levels, whether looking at the entire video, individual shots, or specific frames. Through AutoML Video Intelligence, users can create custom entity labels, allowing for a personalized experience tailored to specific needs. In addition, the technology provides near real-time insights by utilizing streaming video annotation along with triggers based on object detection. This functionality not only enables the development of engaging customer experiences through highlight reels and tailored recommendations but also applies to both archived and live video streams. Users can perform searches within their video libraries akin to traditional document searches, making it simpler to find specific content. The comprehensive metadata that is extracted allows for effective indexing, organization, and filtering of video assets, ensuring that the most relevant pieces are easily accessible. By harnessing these advanced features, organizations can optimize their use of video data, ultimately improving their operations and fostering deeper engagement with their audiences. This advancement in video analytics technology marks a significant step toward smarter, more efficient content management strategies.

Media

Media

Integrations Supported

BOSCO
CVAT
Google Cloud AutoML
Google Cloud Platform
Unremot

Integrations Supported

BOSCO
CVAT
Google Cloud AutoML
Google Cloud Platform
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

$30/user/month
Free Trial Offered?
Free Version

Pricing Information

$0.10 per minute
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

Mindkosh AI

Date Founded

2021

Company Location

India

Company Website

mindkosh.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/video-intelligence

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

Categories and Features

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