Contents
What is Advanced Video Curation?
Support within Encord
Encord Blog
Announcing the launch of Advanced Video Curation
At Encord we continually look for ways to enable our customers to bring their models to market faster.
Today, we’re announcing the launch of Video Data Management within the Encord Platform, providing an entirely new way to interact with video data.
Gone are the days of searching frame by frame for the relevant clip. Now filter and search across your entire dataset of videos with just a few clicks.
What is Advanced Video Curation?
In our new video explorer page users can search, filter, and sort entire datasets of videos. Video-level metrics, calculated by taking an average from the frames of a video, allow the user to curate videos based on a range of characteristics, including average brightness, average sharpness, the number of labeled frames, and many more.
Users can also curate within individual videos with the new video frame analytics timelines, enabling a temporal view over the entire video.
We're thrilled that Video Data Curation in the Encord platform is the first and only platform available to search, query, and curate relevant video clips as part of your data workflows.
Support within Encord
This is now available for all Encord Active customers. Please see our documentation for more information on activating this tool. For any questions on how to get access to video curation please contact sales@encord.com.
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Understand and manage your visual data, prioritize data for labeling, and initiate active learning pipelines.
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Encord supports processing video data in various formats, ensuring that users can convert their raw video files into the necessary formats for annotation, such as HTML for structured presentation. This flexibility helps maintain the quality and usability of the data for AI model training.
Encord's workflow management system is designed to handle drone surveillance footage efficiently. Users can set up custom workflows to manage the assets coming into a labeling project, which includes pre-labeling and correction tasks for improved accuracy in tracking over long distances.
Encord provides a seamless integration process for new videos. Users can upload data through the platform's user interface, allowing for easy incorporation into existing workflows. The documentation and SDK resources are available to guide users through this integration.
Yes, Encord is designed to work with multiple data modalities, including images and videos. The platform supports projects that require video analysis, such as traffic monitoring and behavior detection, making it versatile for diverse AI applications.
Encord is equipped to manage large datasets efficiently, making it suitable for organizations that handle millions of images. This capability is essential for companies looking to streamline their data processing and annotation workflows.
Absolutely, Encord is compatible with cloud-based image data storage. Our platform enables seamless integration with cloud services, allowing teams to access and manage their datasets effectively for annotation and model training.
Encord offers robust features for managing and curating both image and video data. Users can quickly search and retrieve relevant data based on customer requests and specific criteria, streamlining the process of data management.
Yes, Encord is capable of handling various data types, including video data. This flexibility allows users to expand their annotation projects to include diverse data formats, meeting their specific needs.
Encord supports videos in HDF format, but we recommend preprocessing them prior to upload. This ensures compatibility and optimal performance within the platform.