An estimated 82% of the time spent on AI projects is spent on data-related tasks. They become a crucial component of the machine learning process. Business leaders often ask these questions while thinking about large datasets and data annotation.
- Can we infuse intelligence into the most critical task of supervised ML?
- Can we bring in enterprise grade collaboration to annotation?
- Can we “shift left” the overall model building process?
- Can we truly experiment at the speed of business?
Yes, we CAN! If you have ZastraTM
ZastraTM uses state-of-the-art Active Learning methods to reduce annotation efforts by up to 70%.
The platform delivers high-quality detection, classification, and segmentation on image and video datasets.
What’s Inside?
Real-Time Collaboration
Project Sponsor, Data Scientist, Developer, Subject-matter Expert, Annotators
Active Learning Driven
Significantly reduce annotation effort without sacrificing quality
Topological Data Analysis
Clearly understand the ‘bias’ in the annotated data
No Data Movement
Reduce cost; use data from where it is (Blob, S3 bucket, network drives)
Pre-Built Algorithms
Integrated within the platform for detection and classification
Popular Frameworks
Supports PyTorch & TensorFlow, including the ability to change hyper-parameters
Re-Use / Re-Purpose
Easy to use with one or more datasets; Multiple Projects – Multiple Experiments
Easy Export
Not just the labeled datasets but also the models. Move / Export to an external location
What is the Flow?
This is one of the few enterprise tools that focus on annotation and infuses AI within the workflow
Raw Data
Project Sponsor, Data Scientist, Developer, Subject-matter Expert, Annotators
Workflow
Create Users / Projects / Experiments / Tasks along with associated raw data
Auto Annotation
Machine-Driven Annotation using pre-built models, with minimal human intervention
Operations
Version-Controlled Packages for data & algorithms | Exported annotations/models
Coming soon…
Segmentation
Extend the platform to support annotation for segmentation. The ZastraTM repository will have algorithms that support segmentation for enabling active learning of datasets.
MLOps
Provide end-to-end ML ops-version control for datasets/experiments and templated pipelines, to deploy the model to standard cloud-based environments and the Edge.
Deep Bayesian Active Learning
Incorporate advances in Bayesian deep learning in the active learning framework. Further, improve the quality of annotations using specialized architectures like Bayesian CNN.
Join the Closed Beta
It’s time for Zastra’s Closed Beta!
Our experts have spent countless hours hand-crafting this breakthrough solution for you. While we’re still actively adding features to the platform, we just couldn’t wait to take you on a test drive!. Once you have taken it for a spin, we’d love to hear your thoughts on enhancing the platform’s effectiveness!. If you want to be one of the first to explore ZastraTM for your model development, we would love to onboard you to the Closed Beta program.
Data Annotation Insights
3 Intriguing Data Annotation Use Cases that Zastra is Ready to Solve
Importance of Human in the Loop (HITL) in the Data Annotation Process
How to Build a Scalable Data Annotation Pipeline with ZastraTM
More questions? Just ask us.
ZastraTM is an Active Learning-based, end-to-end data curation and annotation platform for image and video data that reduces the time required to label and annotate data to power your business applications, and provides a unified, collaborative environment for managing the entire AI model development, training, and deployment process.
Zastra’s key capabilities include Active-Learning based object classification, object detection, localization, and segmentation (upcoming). We can do this for images, video, audio, text, and point cloud data.
ZastraTM has comprehensive ML-assisted enterprise workflows that bring together disparate teams such as SMEs, Data Scientists, Labeling team, Project Management, ML Engineering, Deployment, and Production so they are collaborating effectively and reduce time-to-market.
These capabilities in aggregate provide the world’s first enterprise-grade DevOps platform to manage the computer vision lifecycle (now) and also build enterprise-grade AI-powered applications (in the future).
A snapshot of what it is:
Well, ZastraTM lets you reduce time and effort, and increase collaboration and effectiveness of the entire AI development and deployment process by providing a unified platform to help resolve data ambiguity, build fast and versatile data pipelines, and support model training and deployment, while freeing you to focus on your use case(s) that driving business impact.
ZastraTM can access your data within your framework – that means you need not move your data anywhere. It’s absolutely safe!
Thank you for your interest! Our experts would love to connect with you. Please fill out the below form and schedule a demo right away!
Interesting! What next?
We are keen to show you the impact that ZastraTM can have. Please fill in the form below, and we will schedule a quick demo.