Abstract: A method for seamless video capture during flex-state transition in a foldable device includes identifying, by one or more sensors of the foldable device, an initiation of a flex movement of the foldable device based on a plurality of frames of a video being captured by a source camera from among one or more cameras of the foldable device; extracting, based on the identifying of the initiation of the flex movement, a semantic scene from the plurality of frames to determine one or more regions of interest (ROIs) in the semantic scene; determining an optical flow for each of the one or more ROIs; determining a flex trajectory of the foldable device; determining a target camera from among the one or more cameras; determining a transition period to switch to the target camera; and switching capturing of the plurality of frames from the source camera to the target camera.

Abstract: Some embodiments include systems and methods for recall estimation. An exemplary method comprises determining reservoir sampling and size of labeling from each strata; determining recall and variance for each strata; determining sum of sample size for a time period; and determining reservoir sampling for each strata and label the sample items. Other embodiments are described.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving item data for items from a catalog, assigning a task for evaluation of the item data, storing a plurality of task jobs to a task queue, repeatedly setting, in real time, a respective processor to perform a respective evaluation model, processing the plurality of task jobs stored to the task queue by determining, in real time, whether a first evaluation model set to be performed on a first processor is capable of meeting the first evaluation criteria of the first task data, performing, on the first processor, the first evaluation model on the first task data, and transmitting first first-evaluation-model-output instructions, and repeatedly updating, in real time, the task queue. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform receiving item data for items from a catalog, assigning a task for evaluation of the item data, storing a plurality of task jobs to a task queue, repeatedly setting, in real time, a respective processor to perform a respective evaluation model, processing the plurality of task jobs stored to the task queue by determining, in real time, whether a first evaluation model set to be performed on a first processor is capable of meeting the first evaluation criteria of the first task data, performing, on the first processor, the first evaluation model on the first task data, and transmitting first first-evaluation-model-output instructions, and repeatedly updating, in real time, the task queue. Other embodiments are disclosed herein.