Abstract: An object is to obtain training data through an ideal image generated from an actually-shot image. A data generating method of generating data used in learning a model using a processor, the data generating method including: generating an ideal image corresponding to output data of the model from a captured image obtained by a predetermined device; and generating a degraded image corresponding to input data of the model from the ideal image.

Abstract: To generate training data setting various sensor states. A method for generating data is a method for generating training data used for machine learning from a CG model using a processor. The method for generating data includes: generating, through simulation, a first image acquired under a first imaging condition and a second image acquired under a second imaging condition that is different from the first imaging condition, in the CG model, and acquiring at least the first image and the second image as input image data in the training data.

Abstract: [Object] Training data is acquired using a computer graphics. [Solution] An image generation method includes acquiring a CG model or an artificial image generated based on the CG model and performing, by a processor, processing on the CG model or the artificial image and generating metadata of a processed image used for AI learning used for an image acquired by a sensor or the artificial image.