Method for analysing training data for vehicle environment sensing in order to improve machine learning of an appearance of a predetermined object, wherein - the method reads data of at least one image from a memory, - the image shows a predetermined object, - a predetermined object portion of the predetermined object is specified and - an object marking surrounding the predetermined object is defined for the predetermined object, characterized a) in that the method determines whether the predetermined object without the predetermined object portion can be detected within the object marking by means of a classifier, - wherein the method, if the predetermined object without the predetermined object portion cannot be detected within the object marking, outputs a first signal indicating that the object marking is incorrectly defined, b) in that the method otherwise ascertains a distance between an object marking section of the object marking, which object marking section is reached first by a centroid of the object without the predetermined object portion in the direction of the predetermined object portion, and the predetermined object without the predetermined object portion and checks whether this distance exceeds/falls below a threshold value, - wherein the method, if the ascertained distance falls below the threshold value, outputs a second signal indicating that the object marking is incorrectly defined, c) in that the method otherwise, if the ascertained distance exceeds the threshold value, furthermore determines whether the predetermined object portion can be detected in the image by means of the classifier and, if the predetermined object portion is not detected in the image, outputs a third signal indicating that the object marking is incorrectly defined, d) in that the method otherwise, if the predetermined object portion can be detected in the image, furthermore determines a second distance between the object marking section and the predetermined object portion and determines whether the second distance exceeds/falls below a second threshold value, - wherein the method, if the second distance exceeds the second threshold value, outputs a fourth signal indicating that the object marking is incorrectly defined, and e) in that the method otherwise, if the second distance falls below the second threshold value, outputs a fifth signal indicating that the object marking is correctly defined for the predetermined object. - the method reads data of at least one image from a memory, - the image shows a predetermined object, - a predetermined object portion of the predetermined object is specified and - an object marking surrounding the predetermined object is defined for the predetermined object, characterized a) in that the method determines whether the predetermined object without the predetermined object portion can be detected within the object marking by means of a classifier, a) in that the method determines whether the predetermined object without the predetermined object portion can be detected within the object marking by means of a classifier, - wherein the method, if the predetermined object without the predetermined object portion cannot be detected within the object marking, outputs a first signal indicating that the object marking is incorrectly defined, b) in that the method otherwise ascertains a distance between an object marking section of the object marking, which object marking section is reached first by a centroid of the object without the predetermined object portion in the direction of the predetermined object portion, and the predetermined object without the predetermined object portion and checks whether this distance exceeds/falls below a threshold value, - wherein the method, if the ascertained distance falls below the threshold value, outputs a second signal indicating that the object marking is incorrectly defined, c) in that the method otherwise, if the ascertained distance exceeds the threshold value, furthermore determines whether the predetermined object portion can be detected in the image by means of the classifier and, if the predetermined object portion is not detected in the image, outputs a third signal indicating that the object marking is incorrectly defined, d) in that the method otherwise, if the predetermined object portion can be detected in the image, furthermore determines a second distance between the object marking section and the predetermined object portion and determines whether the second distance exceeds/falls below a second threshold value, c) in that the method otherwise, if the ascertained distance exceeds the threshold value, furthermore determines whether the predetermined object portion can be detected in the image by means of the classifier and, if the predetermined object portion is not detected in the image, outputs a third signal indicating that the object marking is incorrectly defined, d) in that the method otherwise, if the predetermined object portion can be detected in the image, furthermore determines a second distance between the object marking section and the predetermined object portion and determines whether the second distance exceeds/falls below a second threshold value, - wherein the method, if the second distance exceeds the second threshold value, outputs a fourth signal indicating that the object marking is incorrectly defined, and e) in that the method otherwise, if the second distance falls below the second threshold value, outputs a fifth signal indicating that the object marking is correctly defined for the predetermined object.