Why they chose Encord
over SageMaker

Encord's collaborative data labeling platform helps you automate data annotation with AI-assisted labeling, build active learning pipelines, and streamline labeling operations.

Vs

SageMaker

9.5
Ease of use
8.3
9.7
Automated labeling
-
10
Collaborative workflows
-
10
Enterprise support
8.6
9.9
Scalability
9.2
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Trusted by pioneering AI teams

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ENCORD ANNOTATE

Built to scale your annotation workflows

Create high-quality training data with Encord’s AI-assisted annotation tools. Collaborate seamlessly in our easy-to-use platform to deploy models faster.

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Annotation types

Supporting your annotation needs

Efficiently 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.

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Object Detection

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Keypoint Skeleton Pose

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Hanging Protocols

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Semantic Segmentation

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Polyline Annotation

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Instance Segmentation

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Action Recognition

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Frame Classifications

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Workflows

Seamless collaboration with enhanced workflows

With expert QA to annotator management, create fully customized, automated ML pipelines to improve the efficiency and quality of your annotation workforce.

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In-depth ontologies

Create complex ontologies

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.

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OUR CUSTOMERS

Don’t just take our word for it

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“The labeling automation (using object tracking and interpolation) has made it much quicker for us to label our videos....

...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

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“I really like how the software makes it easy to label videos...

...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

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“The Encord platform is really easy to use for annotating videos...

...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

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“One of the best bits of Encord are the powerful ontologies we can create...

...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

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“For research and the other things, I am a heavy user of different annotation tools and I can confidently say that Encord is one of the best ones out there...

...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

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“This was the first tool we found that could handle the enormous labeling taxonomy we had.....

...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

ENCORD ACTIVE

Data-driven insights to power model performance

Avoid labeling errors, improve annotation quality, and diagnose model issues quicker with our built-in active learning platform to build better models, faster.

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Quality metrics

Boost data quality for your model

Easily uncover outliers and edge cases in your data with quality metrics to evaluate model performance.

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Semantic visual search

Custom quality metrics

Data & model debugging

Label error analysis

QA workflows

Visualize high-confidence false-positives

Use existing models and custom embeddings to surface potential label errors and correct them to improve your data quality.

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Active Learning workflows

Setup automated active learning pipelines

Close the loop between your models, uncurated data and your annotation platform and target your data curation towards high-impact samples.

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Software To Help You Turn Your Data Into AI

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.