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Improve Efficiency with Automotive Data Labeling
Data labeling is essential in the automotive industry for enhancing safety, autonomy, and manufacturing efficiency.
Defect Detection
Identify defects in vehicle components, such as paint imperfections, weld quality, part misalignments, and structural damage in manufacturing and quality control.
Autonomous Driving
Train AI models to recognize road conditions, traffic signs, pedestrians, and other vehicles for improved perception in self-driving and advanced driver-assistance systems.
Predictive Maintenance
Analyze sensor and image data to detect wear and tear in engines, brakes, tires, and other critical components, reducing downtime and improving vehicle reliability.
Automate Automotive Data Labeling with AI
Label vehicles, road conditions, traffic signs, and manufacturing components quickly with AI-assisted annotation tools to streamline human labeling or fully automate your data labeling pipeline.
Smart Polygon
Quickly create polygon annotations for with one click, powered by Meta AI's Segment Anything 2 model.
Label Assist
Use custom models for annotating images and reduce human labeling time by 95%.
Auto Label
Auto Label uses state-of-the-art foundation models to help you label thousands of images in minutes.
AI-Powered Dataset Management
Automatically locate edge cases, anomalies, and areas of low performance to improve the quality of your automotive datasets.
Hue
Saturation
Blur
Pre-processing and Augmentation
Generate up to 50 augmented versions of each image in your dataset to improve model generalization.
class:
person
AND
tag:
helmet
class:
Include images with the given class
split:
Include images in the given split
tag:
Include images with the given tag
filename:
Match filenames containing the given string
sort:
Sort images
Dataset Search
Explore, visualize, filter, curate, and organize data to create the best dataset for your next training run.
All Splits
Train
Valid
Test
Search by class name
Helmet
871/1340
No Helmet
263/658
Dataset Analytics
Find insights in your data with built in analytics to understand where and how to improve your dataset
One Tool for Any Labeling Task
Automate your labeling pipeline or use AI-assisted tools for every type of computer vision project to efficiently build high quality datasets.
Easily scale in the cloud
Get extra computing power with Roboflow’s managed infrastructure or bring your existing cloud provider.
Automatically scale during busy periods
Ensure business continuity with load balancing
Push more compute intensive tasks to the cloud
Offload tasks to the cloud as necessary
Deploy AI wherever you need
Run on the platform of your choice – from air-gapped servers to cloud-connected cameras in your facility.
At the edge
Use our pre-built devices or bring your own. No internet connection required.
In the cloud
Leverage your existing cloud infrastructure or easily deploy with our hosted API.
Have a machine vision use case in mind? Curious how other automotive businesses are using data labeling? Our team will help you start solving business problems on the first call.
