Encord's collaborative data labeling platform helps you automate data annotation with AI-assisted labeling, build active learning pipelines, and streamline labeling operations.
Trusted by pioneering AI teams
Create high-quality training data with Encord’s AI-assisted annotation tools. Collaborate seamlessly in our easy-to-use platform to deploy models faster.
Request TrialEfficiently label any computer vision modality across image, video, medical imagery, or geospatial data and choose from a variety of tools to meet your annotation needs.
Object Detection
Keypoint Skeleton Pose
Hanging Protocols
Semantic Segmentation
Polyline Annotation
Instance Segmentation
Action Recognition
Frame Classifications
Polygons
With expert QA to annotator management, create fully customized, automated ML pipelines to improve the efficiency and quality of your annotation workforce.
We offer the industry’s most advanced labeling ontologies enabling you to create as many nested classifications to support your labeling operation and help you create a better Ground Truth.
...Combined with Encord's 'micro-models' (which further speed up video labeling) we've been able to reduce how much it costs us to create high quality labeled data. And the platform's really flexible - we're not limited by the length of the video we can upload or confined to a small range of compatible file formats.
- Victor, G2 reviewer
...The interpolation feature is really helpful and makes it way faster than the other tools I've used before. Also, the micro-model feature is really cool because it lets me pre-label videos so it's less work for me.”
- Jessie, G2 reviewer
...With Encord's interpolation feature we can label videos much more efficiently than with the tools we were using previously. The micro-model feature also makes labeling much more efficient, as we can pre-label videos so our annotators spend less time doing manual labels.”
- Conrad, G2 reviewer
...We can build a really complex labelling structure to cover advanced labelling requirements. Even more useful when combined with the action classification - means you can create very rich datasets to train a ML model on.”
- G2 reviewer
...Its versatility and ever-evolving nature never cease to amaze me, allowing me to annotate objects with ease and precision… The interface is simple yet powerful and making annotation-intensive studies a breeze, especially when working with multiple objects.”
- G2 reviewer
...We have to catalog many different types of products and Encord’s ontology feature was extremely useful in packing everything into a usable structure. The interface is also quite intuitive and the hotkeys make it easy for our team to navigate and speed up the annotation process.”
- Victor, G2 reviewer
Avoid labeling errors, improve annotation quality, and diagnose model issues quicker with our built-in active learning platform to build better models, faster.
Get startedEasily uncover outliers and edge cases in your data with quality metrics to evaluate model performance.
Learn more
Semantic visual search
Custom quality metrics
Data & model debugging
Label error analysis
Semantic visual search
Custom quality metrics
Data & model debugging
Label error analysis
Use existing models and custom embeddings to surface potential label errors and correct them to improve your data quality.
Close the loop between your models, uncurated data and your annotation platform and target your data curation towards high-impact samples.
Encord is transforming how businesses get their computer vision models into production. We can do the same for you. Talk to us to get started.
