Optimizing LiDAR Annotation Processes
Dataloop easy-to-use Lidar Annotation Studio empowers your team
To deliver Point-Perfect Training Data and accelerate your time to market
High-performance AI starts with
high-quality LiDAR annotation studio
Data Quality: Ensuring Accuracy and Efficiency
- Advanced Tools & Visualization: Use precise 3D tools like cuboids, polylines, splines, and semantic segmentation. Enhance data with point cloud coloring, distance filtering, and opacity adjustments.
- Automation: Save time and reduce costs by automatically filling timeline gaps for consistent labeling.
- Quality Monitoring: Ensure quality with streamlined workflows and built-in QA tools.
Sensor Fusion: Overcoming Integration Challenges
- Multi-Sensor Annotation: Annotate multiple data types from video, image, and LiDAR sensors in a single platform.
- Efficient Data Conversion: Easily convert your LiDAR data and start annotating right away.
Large-Scale Projects: Enhancing Remote Collaboration
- Secure Cloud Storage: Access up-to-date, synchronized data from anywhere.
- Real-Time Collaboration Features: Facilitate seamless interaction with progress tracking, task assignment, and direct communication.
- Powerful Analytics Dashboard: Assign tasks and gain real-time project visibility, ensuring top-notch data quality with dedicated QA monitoring.
Build on a solid foundation
Develop AI applications at the speed of market demand
Data
Models
Pipelines
Applications
Human Feedback
Marketplace
Security
Build anything with Dataloop
These are just some of the workflows our users build using the platform
Building a GenAI stack
Create single- or multi-modal AI applications, work with hundreds of datasets, chose any model you need to and replace them at will – all on the only truly-complete platform for GenAI development.
Validating GenAI with RLHF/RLAIF
Use pre-built Reinforcement Learning workflows with human and AI feedback nodes. Facilitate RLHF for GenAI at scale by allowing human feedback to be an inherent part of your operations, without the overhead.
Multi-cloud Compute
Chain multiple cloud compute nodes together in a single pipeline. Use different types of compute and different compute vendors, including all major clouds, on-premise, NVIDIA’s DGX or Dataloop’s own compute offering.
Bulding RAG workflows
Build Retrivial-Augmented-Anything workflows with Dataloop, combining models, data, compute and pipelines in one location – instead of scattered across multiple providers and platforms.
“Working with Dataloop audio studio has accelerated our ability to deliver and scale complex ASR validation and NLP projects for our customers.”
“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”
“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”.
“Dataloop and its platform enabled us to continuously improve our production models on a weekly basis in a variety of classification problems.”
“We love working with Dataloop; their data management platform allows us to simultaneously ensure multiple projects are labeled, tasked and QA'd regardless of where our workforce is based.”
FAQ
Dataloop is an AI development platform designed to empower data practitioners to collaborate and build exceptional AI solutions. It comes pre-packed with models, functions, datasets, and integrations with popular cloud platforms, ensuring you can hit the ground running when developing your AI applications.
Dataloop is an all-in-one solution, eliminating the need for multiple tools or cloud services to deliver complete, robust AI applications. Furthermore, Dataloop prioritizes RLHF, Active Learning, and other human-in-the-loop workflows, offering dedicated, state-of-the-art annotation studios for human reviewers to excel.
Dataloop offers a large Marketplace of models, datasets, pre-built workflow templates and more, and is highly-integrated with a variety of cloud platforms, data tools and more.
Read more about why Dataloop is a great choice for you in our dedicated page for Data Engineers.
Dataloop helps automate processes crucial to AI development, such as model training, human feedback (for RLHF and Active Learning) and more, and lets you focus on training your models instead of platform setup and configuration.
Read more about why Dataloop is a great choice for you in our dedicated page for Data Scientist.
In Dataloop, every piece of the pipeline can be created, modified and deleted using an API call, and our robust Python SDK allows for complete code-level control on the data pipelines you rely on to build your AI applications.
Read more about why Dataloop is a great choice for you in our dedicated page for Software Engineers.
Dataloop allow teams to focus on building AI applications, and not platform maintenance – while still allowing for complicated, human-in-the-loop flows and without compromising on quality or the speed of delivery.
Read more about why Dataloop is a great choice for you in our dedicated page for Data & AI Leaders.
To get started with Dataloop, you can talk to one of our AI experts.
At Dataloop, privacy and security are our top priorities. We adhere to leading industry standards and are dedicated to ensuring the security of your data with comprehensive governance throughout the entire platform. More specifically, Dataloop is compliant with SOC 2 Type II, GDPR, ISO 27001 and ISO 27701, and offers RBAC, 2-factor authentication, AES-256 encryption and ongoing tracking of all system resources and actions that occur within the platform.
You can read more about our security controls in our dedicated security resource.
