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Encord

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65 reviews
  • 1 profiles
  • 6 categories
Average star rating
4.8
Serving customers since
2020
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Encord Reviews

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Karla G.
03/28/2023
Validated Reviewer
Review source: Organic

“Fast data labeling tool” - Data Annotation Specialist

The image and video annotation tool is excellent and easy to use with various hotkeys that speed up my annotation workflow. I can quickly label different objects and actions in the video, and the tool provides a smooth experience.
Murat S.
MS
Murat S.
Türkiye Cumhuriyeti Millî Eğitim Bakanlığı şirketinde Daire Başkanı
03/21/2023
Validated Reviewer
Verified Current User
Review source: Organic

Excellent for machine learning systems

The creation of ontologies for labeling and other related tasks is characterized by its facile and straightforward nature, allowing for facile data extraction. The resulting ontologies enable diverse feeding approaches for machine learning systems, facilitating their smooth operation. Moreover, automated methods such as detection, classification, or segmentation can augment the modeling phase, enhancing the overall process. Additionally, adopting this methodology can expedite the workflow substantially, constituting an added advantage.
Yalçın .
Y
Yalçın .
Izmir Katip Celebi University şirketinde Associate Professor
03/21/2023
Validated Reviewer
Verified Current User
Review source: Organic

EnCord can simplify our almost-endless works :)

Encord simplifies the workflow by offering a straightforward uploading process, even for complex DICOM format images, enabling efficient communication with radiologists. The platform also boasts an internal modeling system that provides a convenient option for users. Our experience with Encord has been highly satisfactory, with the platform serving as an indispensable tool in expediting and streamlining our work plan.

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HQ Location:
San Francisco, US

Social

@encord_team

What is Encord?

Encord is a platform designed to facilitate data-centric computer vision applications by offering tools for collaborative data annotation, model development, and iterative improvement. The platform supports a wide range of data types and formats, providing features like automated labeling, quality assurance workflows, and real-time collaboration to streamline the machine learning pipeline. Encord aims to enhance data-driven insights, helping organizations efficiently build and refine AI models for various applications.

Details

Year Founded
2020
Website
encord.com