CLASSIFICATION PARALLELIZATION ARCHITECTURE

Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames (702) may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination (704) may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input (706) into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received (708) from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated (710), and an output stream may be generated including the set of composite frames to be played back in chronological order.