Our Customers Experience a 3x Deployment Rate
Automotive Industry Expertise
We bring the most cost-effective, highest ROI approach to train your AI models with the most diverse, scalable labeling options across data types, languages and dialects, and security demands. You choose the level of service and security you want, from white-glove managed service to flexible self-service.
Here are just some of the reasons why you should choose us:
15+ years of automotive industry experience with a local Detroit presence
Cutting-edge LiDAR, PLSS, and computer vision ML-assisted tools
We work with seven of the 10 top auto companies and tier 1 suppliers
Supporting both in-vehicle conditions and autonomous vehicle developments
In the next ten years, the auto industry will undergo a profound transformation: the cars it builds, the companies that build them, and the consumers who buy them will all look significantly different.
The Appen Difference
Quality assurance peer review workflows, continuous testing and auditing, and a highly-skilled, managed crowd collect and labell your data
Greater Speed & Scale
AI assisted capabilities like one-click annotation, object tracking with linear interpolation, auto-adjusting cuboids, and more
Multiview point cloud and camera data rendering within an easy to use tool interface that supports custom labels/ontologies
Specialized team based in Detroit, MI to accelerate your product development and testing workflows
We offer a full suite of multimodal computer vision annotation tools, as well as in-cabin vehicle collection, and NLP annotation services to help with your automotive projects. Our world class machine learning assisted annotation tools combine the best of human and machine intelligence to ensure high accuracy and scalability.
- Audio collection in-car, in-studio, and in real world scenarios
- Image, text, and video collection
Image annotation including semantic segmentation
Object and event tracking
- Video classification
3D Point Cloud
- Sensor fusion and united annotation
Speech and Language
- Audio transcription
- Utterance collection for conversational agents
Top Use Cases for Automotive AI
Vehicles need to understand large volumes of data, such as identifying a tree or pedestrian, listening for commands, assessing outside changes to the environment, and then feed that back into the car’s AI.
Voice and Speech Recognition
Connected cars that are trained on large-scale speech data collection can provide customers around the world with the best in-car infotainment experience.
Understanding and Predicting Behavior
Connected cars, using advances in voice recognition, LiDAR, and cameras, need to have the ability to identify user intent, as well as their words—so they can tell when users are happy or frustrated, and respond accordingly.
Single Data Collection and Annotation Pipeline
Automotive teams can leverage our full suite of multimodal computer vision annotation tools, as well as in-cabin vehicle collection, and NLP annotation services and combine them in an automated process with workflows within the Appen platform to:
Choose Your Level of Effort
Your team is technology savvy and you have experts in-house to leverage our industry-leading platform to manage training data projects independently.
Your team manages your training data projects, but you want expert guidance and support to ensure you consistently get high-quality training data.
Your team sends us raw data and specifications, and we deliver high-quality training data with our end-to-end solution, leveraging our platform, expertise, and crowd so you can focus on models, not labels.
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