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What is Zastra?
We are set to enhance the platform by adding annotation capabilities specifically designed for segmentation tasks. The Zastra repository will feature cutting-edge algorithms that streamline segmentation processes, thereby improving active learning across various datasets. To support this, we will implement complete end-to-end machine learning operations, which will include dataset and experiment version control, as well as templated pipelines that facilitate model deployment in standard cloud environments and on edge devices. By embedding advancements in Bayesian deep learning within the active learning framework, we aspire to significantly enhance overall performance. Additionally, we will improve the precision of annotations by utilizing specialized architectures like Bayesian CNNs, which will ensure superior outcomes. Our dedicated team has committed considerable time and resources to create this innovative solution tailored to your requirements. While we are consistently adding new features and improvements to the platform, we invite you to participate in a trial run soon! Zastra offers a variety of essential functionalities, such as active learning for object classification, detection, localization, and segmentation across multiple formats, including images, videos, audio, text, and point cloud data. This versatility not only makes Zastra a powerful tool for addressing a wide range of data challenges, but it also positions us well to adapt to future needs in data processing and machine learning advancements.
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.
Integrations Supported
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$30/user/month
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
RoundSqr
Date Founded
2018
Company Location
India
Company Website
www.roundsqr.com/zastra/
Company Facts
Organization Name
Mindkosh AI
Date Founded
2021
Company Location
India
Company Website
mindkosh.com
Categories and Features
Data Annotation
Not specified
Data Labeling
Not specified
Image Annotation
Not specified
Video Annotation
Not specified
Categories and Features
Data Annotation
Not specified
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Task Management
Team Collaboration
Training Data Management
Image Annotation
Not specified
LiDAR
Not specified
Video Annotation
Not specified