Abstract: An information processing apparatus includes an acquisition unit that acquires a first image through imaging, a determination unit that determines whether a predetermined object is included in the first image acquired by the acquisition unit based on a model that has learned the predetermined object, and a selection unit that selects a second image from among images determined by the determination unit as including the predetermined object, and executes relearning of the model by using the selected second image.

Abstract: For a solid-state imaging element that executes image recognition processing, versatility is improved. The solid-state imaging element includes a processing section, a digital signal processing section, and an output interface. The processing section selects any one of a plurality of DNNs (Deep Neural Networks) with different formats of an output tensor. The digital signal processing section executes image recognition processing on an input tensor by use of the selected DNN to generate the output tensor. The output interface outputs a decode parameter for decoding the generated output tensor and the output tensor.