SDK highlights
At Dataloop, we make sure to “eat own own dog food”, as our entire platform is built on top of our SDK that runs via our Rest APIs. These give you direct access to our production environment with your code, so you can easily perform actions like:
Auto-annotation
Integrate your own ML models to automatically annotate raw data, thus turning the manual labeling process into a simple auditing task - the labelers only fix annotations rather than label from scratch
Pre processing
Prepare your data for more efficient workflows, with automatic functions such as cutting video files into individual frames, selecting only high variance items for manual annotations, enhancing image and video quality and more
Post-processing
Make more sense of your annotated datasets both before and after training. Run auto-clustering functions to identify gaps in the dataset, optimize data variance, and use quality analyzers to measure model confidence rates
SDK applications for production pipelines
Custom Plugins
Create your own plugins in Python with our SDK, including built-in triggers for running functions and auto-scaling them. Bootstrap and manage your plugins using our interactive CLI with auto-completion of commands and parameters
Custom Pipelines
Assemble event-driven automation pipelines for running pre and post processing functions, integrate models into annotation workflows and training iterations, deploy models in production and introduce a human-in-the-loop for edge-case validation
Serverless Data Applications
Build, operate and deploy pipelines at scale, utilizing our Kubernetes-powered environment for running containerized models during research, training and production – all compute infrastructure can be handled by us and supported for unlimited auto-scaling
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”
