Abstract: Access to a set of media content items is acquirable. Identified processors can perform, in parallel, object detection for the set. In some cases, information about a current system state, a user, and/or object popularity metrics is acquirable for selecting a subset of object models. Object recognition is performable, based on the subset, for the set of media content items. In some instances, a camera view can be provided. Object recognition is performable for representations of the view. An object depicted in the representations is identifiable. An interface portion is presentable to provide a label for the object. In some cases, object recognition is performable for the set of media content items to identify an object depicted in a content item. A label is associable with the content item. A search through the set of media content items can identify, based on the label, a subset that depicts the object.

Abstract: Systems, methods, and non-transitory computer-readable media can detect a set of images locally stored on a computing system. The computing system can be associated with a first user. One or more facial recognition processes can be applied to the set of images. It can be determined, based on the one or more facial recognition processes, that a subset of images, out of the set of images, is associated with a second user. One or more options for the first user to share the subset of images with the second user can be provided.

Abstract: Access to a set of media content items is acquirable. Identified processors can perform, in parallel, object detection for the set. In some cases, information about a current system state, a user, and/or object popularity metrics is acquirable for selecting a subset of object models. Object recognition is performable, based on the subset, for the set of media content items. In some instances, a camera view can be provided. Object recognition is performable for representations of the view. An object depicted in the representations is identifiable. An interface portion is presentable to provide a label for the object. In some cases, object recognition is performable for the set of media content items to identify an object depicted in a content item. A label is associable with the content item. A search through the set of media content items can identify, based on the label, a subset that depicts the object.

Abstract: Systems, methods, and non-transitory computer-readable media can detect a set of images locally stored on a computing system. The computing system can be associated with a first user. One or more facial recognition processes can be applied to the set of images. It can be determined, based on the one or more facial recognition processes, that a subset of images, out of the set of images, is associated with a second user. One or more options for the first user to share the subset of images with the second user can be provided.

Abstract: Systems, methods, and non-transitory computer-readable media can detect a set of images locally stored on a computing system. The computing system can be associated with a first user. One or more facial recognition processes can be applied to the set of images. It can be determined, based on the one or more facial recognition processes, that a subset of images, out of the set of images, is associated with a second user. One or more options for the first user to share the subset of images with the second user can be provided.

Abstract: Systems, methods, and non-transitory computer-readable media can detect a set of images locally stored on a computing system. The computing system can be associated with a first user. One or more facial recognition processes can be applied to the set of images. It can be determined, based on the one or more facial recognition processes, that a subset of images, out of the set of images, is associated with a second user. One or more options for the first user to share the subset of images with the second user can be provided.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a current location of a first user. A set of users who are associated with the first user can be identified. In some instances, it can be determined that a second user out of the set of users is currently located within an allowable proximity from the current location of the first user. A first set of media content items produced by the first user can be shared with the second user.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a current location of a first user. A set of users who are associated with the first user can be identified. In some instances, it can be determined that a second user out of the set of users is currently located within an allowable proximity from the current location of the first user. A first set of media content items produced by the first user can be shared with the second user.