Advanced New Technologies Co., Ltd.

Alibaba Group Holding Limited

Xin Guo

Haitao Zhang

Juan Xu

Yuan Cheng

Jinlong Hou

Danni Cheng

Jian Wang

Yue Hu

Bokun Wu

Jian Jun Wang

Yanqing Chen

Chen Jiang

Kan Zhang

Fan Zhou

Jun Huang

Zhihong Lu

Yanqing Cheng

A system is provided for performing image processing. During operation, the system can obtain a video stream of a target object, and obtain, from the video stream, a plurality of images ranked according to a first sequence. The target object can be, e.g., a damage vehicle. The system can then extract a set of feature vectors corresponding to the plurality of images. The system may sequentially provide the set of feature vectors to a trained damage assessment image judgment model. Next, the system can apply the trained damage assessment image judgment model to determine whether each image in the plurality of images corresponds to a damage assessment image.

System and method for performing image processing based on a damage assessment image judgement model

Embodiments of the application provide a method, apparatus, server, and terminal device for obtaining a vehicle loss assessment image. A computer-implemented method for obtaining a vehicle loss assessment image comprises: receiving video data of a damaged vehicle; detecting one or more video images in the video data to identify a damaged portion in the one or more video images; classifying the one or more video images into one or more candidate image classification sets of the damaged portion based on the identified damaged portion; and selecting a vehicle loss assessment image from the one or more candidate image classification sets according to a screening condition.

Method and apparatus for obtaining vehicle loss assessment image, server and terminal device

Methods, systems, and computer-readable storage media for generation of a vehicle repair plan. Implementations include actions of receiving vehicle damage data including an image of a damaged vehicle. The vehicle damage data is processed to determine a component region. The component region is processed to determine a damaged area and a damage type of a portion of the damaged vehicle. A maintenance plan is generated for the damaged vehicle based on the damaged area and the damage type. The maintenance plan is initiated for the damaged vehicle.

Picture-based vehicle loss assessment

An image processing method includes: acquiring a video stream of a vehicle by a camera according to a user instruction; obtaining an image corresponding to a frame in the video stream; determining whether the image meets a predetermined criterion by inputting the image into a classification model, the classification model comprising a first convolutional neural network; in response to the image meeting the predetermined criterion, adding at least one of a target box or target segmentation information to the image by inputting the image into a target detection and segmentation model, the at least one of the target box or the target segmentation information corresponding to at least one of a vehicle part or vehicle damage of the vehicle, the target detection and segmentation model comprising a convolutional neural network; and displaying the at least one of the target box or the target segmentation information to the user.

Image processing method and apparatus

A video stream captured for an object is obtained. Features of S image frames in the video stream are extracted, and S N-dimensional feature vectors are generated. The S N-dimensional feature vectors are arranged in a chronological order corresponding to the order in which the image frames occur in the video stream to generate a feature matrix, wherein the feature matrix has N rows and at least S columns. The feature matrix is processed by using a pre-trained convolutional neural network, to obtain a processing result for the object captured in the video stream.

Method and apparatus for processing video stream

A vehicle insurance image processing method includes: acquiring a vehicle insurance image; processing the vehicle insurance image by using a preset image classification algorithm, to determine at least one category label of the vehicle insurance image; and storing, based on classification, the vehicle insurance image in a corresponding usage scenario according to the at least one category label.

Vehicle insurance image processing method, apparatus, server, and system

Methods, systems, and computer-readable storage media for generation of a vehicle repair plan. Implementations include actions of receiving vehicle damage data including an image of a damaged vehicle. The vehicle damage data is processed to determine a damaged area and a damage type of a portion of the damaged vehicle. A repair plan is generated for the damaged vehicle based on the damaged area and the damage type. The repair plan is initiated for the damaged vehicle.

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Hangzhou, China

Xin Guo