Abstract: A system and method include a processor and a non-transitory, computer-readable medium storing one or more neural networks. The processor is operable to extract, using the trained neural networks, frames in a video for annotation based on an annotation task selected by a user, assign, using the trained neural networks, the annotation task to one or more annotators based on matchability scores and historical annotation performance of the annotators, determine, using the trained neural networks, whether one or more confidence scores of one or more annotations in annotated frames received from the one or more annotators are below a threshold, in response to a determination that the one or more confidence scores are below the threshold, flag the one or more annotations associated with the one or more confidence scores below the threshold, and send notifications of the flagged annotations to the user.

Abstract: A method, non-transitory computer readable medium, and apparatus that assist with object recognition includes determining when at least one eye of an observer fixates on a location in one or more of a sequence of fixation tracking images. The determined fixation location in the one or more of the sequence of images is correlated to a corresponding one of one or more sequence of field of view images. At least the determined fixation location in each of the correlated sequence of field of view images is classified based on at least one of a classification input or a measurement and comparison of one or more features of the determined fixation location in each of the correlated sequence of field of view images against one or more stored measurement feature values. The determined classification of the fixation location in each of the correlated sequence of field of view images is output.

Abstract: A method, non-transitory computer readable medium, and apparatus that assist with object recognition includes determining when at least one eye of an observer fixates on a location in one or more of a sequence of fixation tracking images. The determined fixation location in the one or more of the sequence of fixation tracking images is correlated to a corresponding one of one or more sequence of field of view images. At least the determined fixation location in each of the correlated sequence of field of view images is classified based on at least one of a classification input or a measurement and comparison of one or more features of the determined fixation location in each of the correlated sequence of field of view images against one or more stored measurement feature values. The determined classification of the fixation location in each of the correlated sequence of field of view images is output.