Data Versioning
Get more out of your dataset while keeping track of annotation variations
Versioning benefits
We are proud to share our host of tools and apps, designed for more scalable and accurate data preparation workflows. For example, our set of data versioning features, including:
Data virtualization
Expand your dataset by generating virtual versions of each item, without taking up extra storage or demanding additional raw data
Data branching
Create data subsets and repositories based on shared properties, such as creation time, annotation classes, labeling providers and more. Inspect versioning timeline and history
Data sandbox
Run numerous "data experiments" on selected items - clone, split and merge different versions together, edit versions' metadata, compare versions for accuracy and more
Powering vision AI across industries
Retail
Helping developers of vision applications for retail keep track of the thousands of brands seen on shelves, inventories and checkout counters, by duplicating and merging together versions of production datasets
Drones & Aerial Imagery
Ensuring labeling accuracy in complex remote sensing datasets, with consensus verification tasks for annotators of industrial inspections, land surveys and maps, equipment tracking, etc.
Robotics
Supplying programmers with designated data pipelines for robotics applications, meaning they can process, clone and merge raw machine vision data into unified datasets
Autonomous Vehicles
Enabling developers of autonomous driving systems to make better use of their ground truth, by assigning multiple layers of information to each scene inside and around the vehicle
Precision Agriculture
Advancing vision applications that monitor highly dynamic crops, livestock, and aquaculture health, with data accuracy and consistency validated continuously from development to production
Media & Content
Enabling developers of sports analysis, content moderation, or image enhancement applications gain more insights from their datasets, so they can reach production faster
Explore additional Data Management features
Data Management
Explore your datasets
Data Versioning
Get more out of your dataset
Storage Management
Connect to your data
Sensor Fusion
Capture and merge your data
Analytics Dashboard
Obtain insights in real-time
Dataloop API
Communicate with your data
Explore more of our platform
Annotation
platform
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
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Production
Pipelines
Build custom automation pipelines within our serverless environment, to reach production faster and scale indefinitely.
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Enterprise-grade data engine
Ensuring highest data standards that serve your entire data organization, allowing cross-functional collaboration while keeping your data access internal
Privacy
Custom authentication and role permission enforcement. Using advanced Kubernetes-powered infrastructure for on-premises or private storage deployments
Security
Full encryption to keep your data constantly safe, compliant with military-grade security standards and certified by comprehensive system audits
Scalability
High performance for large volumes of data with 99.9% uptime SLA, providing auto-scaling infrastructure that supports your ever-growing data operations
“Working with Dataloop has proven to save Odysight.AI significantly in regards to money and time, by automating once tedious data-engineering and models’ evaluation procedures”
“The team at Dataloop provide a powerful platform with a suite of tools. Thanks to Dataloop, we're able to successfully test our algorithms and improve our ADAS and autonomous driving features"
“Data accuracy is critical to the development of our autonomous systems. Dataloop provides our team with a powerful and intuitive platform that allows us to create top quality and accurate datasets”
