Automotive

AI in the Automotive industry. Training data for ai-backed autonomous driving.

AI is changing the way that we travel. Autonomous vehicles are becoming commonplace on roads across the world, promising safer and more efficient travel. Keylabs is the ideal annotation tool for developers seeking to innovate in this vital and growing sector. Unique data management features and project management capabilities allow automotive AI developers to craft varied, high-quality annotated datasets at scale.

Use cases

Autonomous driving

Powerful annotated video data results in more reliable self-driving vehicles

In-cabin AI

Powerful annotated video data results in more reliable self-driving vehicles

Recognition of surroundings:

Powerful annotated video data results in more reliable self-driving vehicles

Lane recognition

Powerful annotated video data results in more reliable self-driving vehicles

If you are developing a unique computer vision use case for the automotive industry, reach out to us. Keylabs is an adaptable platform that can fit the needs of the most innovative AI projects.

Securing your data

Using the Keylabs annotation tools comes with a commitment to data safety. Keylabs employs a range of security measures to protect valuable and sensitive data. This includes comprehensive infrastructure security if you choose to access Keylabs through the cloud. Alternatively, Keylabs can be installed on premises, guaranteeing you total control over access. We will continue to emphasize data protections as a priority by utilizing a diverse array of security measures and industry best practices.

Take control of your labeling process with unique annotation tool features

Annotation projects can be a time-consuming distraction for busy managers and engineers. Keylabs was designed by annotation experts to accelerate the labeling of image and video data without compromising on the quality of training datasets. Core capabilities include:

Z order

Feature — 01

Keylabs allows annotators to define the depth, or z order, of annotated objects.

Parent / Child

Feature — 02

Objects can also be linked together in a “parent/child” relationship.

In / out

Feature — 03

These objects can also be marked when they are out of video frame for a period of time, then caught when they reappear, using object timeline features.

Unique visual id

Feature — 04

You can also give each object a unique visual identity, to locate them across multiple media files.

Metadata

Feature — 05

Keylabs also supports the creation of metadata, including hierarchical structures

Project Management

Feature — 06

Keylabs offers unique project management and workforce analytics capabilities. Our workflow system links annotators and verifiers and distributes tasks between them efficiently

Metrics

Feature — 07

Finally, an API for realtime statistics allows you to keep track of metrics such as annotation speeds, and number of errors. This enables managers to promote workforce productivity with detailed analytics that show how annotators are spending their time.