Computer-implemented method and system for generating a dataset

A computer-implemented method for generating a dataset for training and/or validating a first machine learning algorithm, wherein the method comprises the following steps:

• providing an input dataset including a set of images, wherein objects to be classified are depicted in the images, wherein each image is assigned to at least one class having a class label;
• for each image:
• generating a crop of the image, wherein the crop includes the object to be classified,
• inputting the image and the generated crop into a second machine learning algorithm, and
• generating a respective label for the crop;
• providing a dataset includes the set of images, wherein each image is assigned the respectively generated label.

A non-transitory computer-readable data carrier on which is stored program code of a computer program for generating a dataset for training and/or validating a first machine learning algorithm, the program code, when executed by a computer, causing the computer to perform the following steps:

• providing an input dataset including a set of images, wherein objects to be classified are depicted in the images, wherein each image is assigned to at least one class having a class label;
• for each image:
• generating a crop of the image, wherein the crop includes the object to be classified,
• inputting the image and the generated crop into a second machine learning algorithm, and
• generating a respective label for the crop;
• providing a dataset includes the set of images, wherein each image is assigned the respectively generated label.

A system configured to generate a dataset for training and/or validating a first machine learning algorithm, the system comprising:

• a provision unit configured to provide an input dataset including a set of images, wherein objects to be classified are depicted in the images, wherein each image is assigned to at least one class having a class label;
• a calculation unit configured to, for each image:
• generate a crop of the image, wherein the crop includes the object to be classified,
• feed the image and the generated crop into a second machine learning algorith, and
• generate a respective label for the crop;
• and
• an output unit configured to provide a dataset including the set of images, wherein each image is assigned the respectively generated label.