Abstract: Purging resources from a cache in a distributed networked system is described. A first data center of the distributed networked system receives a purge request to purge a resource from cache. If the purge request does not include a cache key, the first data center determines whether the purge request is valid, and if valid, purges the resource from cache of the first data center, generates a cache key for the resource, and causes the purge request that includes the generated cache key to be sent to other data centers of the distributed networked system for purging the resource from cache. If the purge request includes a cache key, the first data center skips determining whether the purge request is valid and purges the resource from cache based on the cache key.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content labeling system is disclosed. An example embodiment is configured to: register a plurality of labelers to which annotation tasks are assigned; populate a labeling queue with content data to be annotated; assign annotation tasks from the labeling queue to the plurality of labelers; and provide a superpixel annotation tool enabling the plurality of labelers to configure a size of a segment cluster in an image of the content data, and select each segment cluster to be included in a segmentation feature with a specified object class, the segment clusters including similarly colored pixels from the image.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content labeling system is disclosed. An example embodiment is configured to: register a plurality of labelers to which annotation tasks are assigned; populate a labeling queue with content data to be annotated; assign annotation tasks from the labeling queue to the plurality of labelers; and provide a superpixel annotation tool enabling the plurality of labelers to configure a size of a segment cluster in an image of the content data, and select each segment cluster to be included in a segmentation feature with a specified object class, the segment clusters including similarly colored pixels from the image.