Abstract: A method of detecting an event, an electronic device, and a storage medium, which are related to a field of computer technology, in particular to a field of artificial intelligence technology, such as image processing and cloud computing. The method includes: determining a first target object according to a first image; determining a second target object and a category of the second target object according to a second image; associating a first target object with the category of the second target object to obtain a first event information; and comparing the first event information with a detection threshold to obtain a first event detection result.

Abstract: A method of recognizing an image is provided, which relates to a field of artificial intelligence technology, in particular to a field of image recognition. The method includes: recognizing a plurality of target object groups of different categories from an image to be recognized; intercepting an area of each target object group from the image to be recognized, so as to obtain a target image of the each target object group; recognizing a number of at least one target object in the each target object group from the target image of the each target object group; and generating a scheduling information for the each target object group according to the category of the each target object group and the number of the at least one target object in the each target object group. An electronic device and a storage medium are further provided.

Abstract: A method of recognizing illegal parking of a vehicle, a device, and a storage medium, which relate to the field of artificial intelligence, and in particular to the fields of deep learning, cloud computing, computer vision, etc. The method includes: obtaining a video image collected by an electronic device; recognizing a parking area of the vehicle in the video image; determining a shooting angle used by the electronic device for collecting the video image; determining an illegal parking area in the video image based on the shooting angle; and recognizing whether the vehicle is illegally parked or not based on the parking area of the vehicle and the illegal parking area.

Abstract: Methods, apparatuses, electronic devices, and mediums related to classification models are provided. The method may include: obtaining a set of positive samples and a set of negative samples, a sample in the set of positive samples including a pair of images from a first image set annotated as similar with each other, and a sample in the set of negative samples including a pair of images annotated as dissimilar with each other from the first image set; training a first sub-network based on the set of positive samples and the set of negative samples; constructing a classification model including a second sub-network, where initial weights of the second sub-network are weights of corresponding nodes of the trained first sub-network; and training the classification model using a second image set that includes at least one image that is common with at least one image in the first image set.

Abstract: The present application discloses a method and an apparatus for recognizing an abnormal license plate, a device and a readable storage medium, which relates to the technical field of artificial intelligence, and further relates to the technical fields of image processing and intelligent transportation. The specific implementation solution is as follows: after obtaining an image to be recognized containing a target vehicle, an electronic device extracts a license plate area image of the target vehicle from the image to be recognized, and normalizes the license plate area image of the target vehicle to obtain a normalized image. After that, the electronic device reconstructs the normalized image to obtain a reconstructed image, and determines whether a license plate of the target vehicle is abnormal according to the normalized image and the reconstructed image.