The Collaborative Training Data Platform for Manufacturing
From data annotation to assessing model performance, Encord provides the end-to-end solution for Manufacturing organizations to leverage AI and get their models into production faster.
Trusted by pioneering AI teams
Leverage Encord’s advanced labeling toolkit to simplify complex annotations in a range of modalities such as video, image and more.
Object Detection
Keypoint Skeleton Pose
Polyline Annotation
Instance Segmentation
Action Recognition
Frame Classifications
Polygons
Compared to other label assistance tools that we’ve worked with, Encord’s user experience is much smoother. The interface is intuitive, so it requires very little training to become a sort of “expert” at using all the functionality.”
“Using Encord’s platform, we were able to train our new models on much better datasets with much higher quality labels... I’ve been very impressed with how Encord iterates on the SDK, listens to feedback, and constantly improves the product.”
“Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also had this great interpolation tool which was especially useful for the projects we were working on.”
From annotating small regions to conducting frame classifications, combine Meta AI’s Segment Anything Model (SAM) and our automated labeling, built into the platform, to annotate and segment visual data 15x faster.
Learn moreTrain, test, and deploy models in automated pipelines while ensuring your model is being trained on the most informative data points using Active Learning techniques.
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Encord is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
Import data from your desired storage bucket such as AWS, Azure, Google Cloud Storage & Open Telekom Cloud OSS.
Programatically access projects, datasets & labels within the platform via API.
With Encord's collaborative annotation platform you can get to production AI faster while meeting regulatory requirements. Quickly label large training datasets from all modalities, and leverage foundation models to speed up your development process.
