Object classification method, vehicle control method, information display method, and object classification device

An object classification method comprising:

• acquiring image data of an image including feature information indicating a feature of an object;
• and
• classifying the object included in the image, based on the feature information, by applying a classification model trained with a machine-learning algorithm to the image data that is data of a multiplexed image in which a plurality of wavelength information are multiplexed in one pixel, wherein:
• the classification model is trained to output a classification result without reconstructing individual images in the plurality of wavelength information from the image data, the image data is acquired by causing a first image capture device to capture the image,
• the first image capture device including:
• an image sensor including a pixel;
• and
• a filter array that is arranged between the object and the image sensor and includes translucent filters two-dimensionally arrayed, the image sensor detecting light transmitted through the filter array, the translucent filters including two or more filters in which wavelength dependencies of light transmittances are different from each other, light transmittance of each of the two or more filters having local maximum values in a plurality of wavelength ranges, and light detected by the pixel and converted to the image data has the plurality of wavelength ranges corresponding to the local maximum values.