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What is Appen?
Appen harnesses the capabilities of over a million individuals globally, leveraging advanced algorithms to generate top-notch training data tailored for your machine learning initiatives. By simply uploading your data onto our platform, we will deliver all the required annotations and labels that form the foundation of accurate model training. Properly annotated data is crucial for any AI or ML model to function effectively, as it enables your models to make informed decisions. Our system merges human insights with state-of-the-art techniques to annotate a diverse array of raw data, encompassing text, images, audio, and video. This process ensures that the precise ground truth is established for your models. Additionally, our user-friendly interface allows for easy navigation and offers the flexibility to interact programmatically through our API, making the integration seamless and efficient. With Appen, you can be confident in the quality and reliability of your training data.
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.
Integrations Supported
Amazon EC2
Amazon Redshift
Amazon S3
Google Cloud Platform
IBM Cloud
Microsoft Azure
Integrations Supported
API Availability
Has API
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Company Facts
Organization Name
Appen
Date Founded
1996
Company Location
Australia
Company Website
appen.com
Company Facts
Organization Name
RoundSqr
Date Founded
2018
Company Location
India
Company Website
www.roundsqr.com/zastra/
Categories and Features
AI Training Data Providers
Not specified
Artificial Intelligence
Not specified
Data Annotation
Not specified
Data as a Service (DaaS)
Not specified
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Task Management
Team Collaboration
Training Data Management
Gig Economy
Not specified
Image Annotation
Not specified
Machine Learning
Not specified
RLHF
Not specified
Speech Analytics
Automatic Transcription
Natural Language Processing
Sentiment Analysis
Surveys & Feedback
Video Annotation
Not specified
Categories and Features
Data Annotation
Not specified
Data Labeling
Not specified
Image Annotation
Not specified
Video Annotation
Not specified