Fecha de publicación: -- Fuente: WIPO "tomato" The invention relates to computer-implemented methods of generating at least one dataset associated with one or more objects of at least one image of a scene of a real environment, in particular egocentric video data. Such generated at least one dataset is configured for input to a computer-implemented process for annotating at least one image frame of a scene of a real environment, particularly for input to and training at least one image-based machine learning model. The invention also relates to computer-implemented methods of annotating at least one image frame of a scene of a real environment, in particular egocentric video data, configured for input to and training at least one image-based machine learning model, and to a corresponding computer program. The invention provides a customized computer-implemented method of generating at least one dataset associated with one or more objects of at least one image of a scene of a real environment, which enables more efficient classification of digital images or videos and training of image-based machine learning models, such as employed in augmented reality applications or autonomous driving.