A method for optimizing an image classification model can include determining a first image classification model based on initial training data; in response to model optimization, determining a second image classification model based on the first image classification model and a noise data set; and obtaining a third image classification model by optimizing the second image classification model based on the initial training data, the third image classification model being configured to update the noise data set based on noise data generated within a predetermined time period and the noise data set.

The present disclosure is directed to generating animated images for presentation by a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive data describing advertisement content, and data describing a first context in which to present the advertisement content; generate data describing a first animated image including at least a portion of the advertisement content; determine a second context in which to present the advertisement content; generate data describing a second animated image including at least a portion of the advertisement content; and communicate, to one or more user devices on which one or more applications are executed, data indicating a plurality of different animated images for presentation by a dynamic keyboard interface in association with the one or more applications, the plurality of different animated images comprising the first animated image and the second animated image.

Aspects of the disclosure provide for reducing inconvenience to other road users caused by stopped autonomous vehicles. As an example, a vehicle having an autonomous driving mode may be stopped at a first location. While the vehicle is stopped, sensor data is received from a perception system of the vehicle. The sensor data may identify a road user. Using the sensor data, a value indicative of a level of inconvenience to the road user caused by stopping the vehicle at the first location may be determined. The vehicle is controlled in the autonomous driving mode to cause the vehicle to move from the first location and in order to reduce the value.

A computer-implemented method for preventing unauthorized processing of a digital representation of at least a portion of a document, a device for data processing, and a computer program product are provided, wherein in particular the document is a banknote. The method comprises providing data, wherein the data is based on the digital representation of at least a portion of a test element. The digital representation may be an image file corresponding to the at least one portion of the test element. The method also involves analyzing the data with regard to data representing at least one characterizing feature of the at least one portion of the document. The method further comprises activating prohibiting means if the data being based on the digital representation of the at least one portion of the test element is similar to the data representing the at least one characterizing feature. The prohibiting means prohibit the data being based on the digital representation of the at least one portion of the test element to be further processed, in particular comprising copying and/or transmitting and/or printing and/or reproducing the data. Alternatively, the prohibiting means amend the data such that the data is prevented from being transmitted and/or printed and/or reproduced and/or further amended by data processing devices.

A computer-implemented method for preventing unauthorized processing of a digital representation of at least a portion of a document, a device for data processing, and a computer program product are provided, wherein in particular the document is a banknote. The method comprises providing data, wherein the data is based on the digital representation of at least a portion of a test element. The digital representation may be an image file corresponding to the at least one portion of the test element. The method also involves analyzing the data with regard to data representing at least one characterizing feature of the at least one portion of the document. The method further comprises activating prohibiting means if the data being based on the digital representation of the at least one portion of the test element is similar to the data representing the at least one characterizing feature. The prohibiting means prohibit the data being based on the digital representation of the at least one portion of the test element to be further processed, in particular comprising copying and/or transmitting and/or printing and/or reproducing the data. Alternatively, the prohibiting means amend the data such that the data is prevented from being transmitted and/or printed and/or reproduced and/or further amended by data processing devices.

Included are an object identification unit that identifies an identified object in an image; a mapping unit that generates a superimposed image by superimposing target points corresponding to ranging points and superimposing a rectangle surrounding the identified object to the image; an identical-object determination unit that specifies, in the superimposed image, two target points closest to the left and right line segments of the rectangle inside the rectangle; a depth addition unit that specifies, in a space, the positions of two edge points indicating the left and right edges of the identified object based on two ranging points corresponding to the two specified target points, and calculates two depth positions of two predetermined corresponding points different from the two edge points; and an overhead-view generation unit that generates an overhead view of the identified object from the positions of the two edge points and the two depth positions.

Included are an object identification unit that identifies an identified object in an image; a mapping unit that generates a superimposed image by superimposing target points corresponding to ranging points and superimposing a rectangle surrounding the identified object to the image; an identical-object determination unit that specifies, in the superimposed image, two target points closest to the left and right line segments of the rectangle inside the rectangle; a depth addition unit that specifies, in a space, the positions of two edge points indicating the left and right edges of the identified object based on two ranging points corresponding to the two specified target points, and calculates two depth positions of two predetermined corresponding points different from the two edge points; and an overhead-view generation unit that generates an overhead view of the identified object from the positions of the two edge points and the two depth positions.

Disclosed are service providing apparatus and method for skin care based on image analysis by identifying a using cosmetic used by a user by analyzing an image obtained by photographing a cosmetic container with a camera based on deep learning, predicting the user's skin type by analyzing the using cosmetic based on deep learning, and then recommending a cosmetic suitable for the user's skin type. According to the present disclosure, it is possible to enhance user's convenience and satisfaction with skin care and reduce the time and cost required for selecting cosmetics suitable for the user's skin type by analyzing the cosmetics held by the user through artificial intelligence based on deep learning to estimate the user's skin type and then automatically selecting and providing cosmetics suitable for the user's skin type from among the cosmetics held by the user according to the estimated skin type.

Disclosed are service providing apparatus and method for skin care based on image analysis by identifying a using cosmetic used by a user by analyzing an image obtained by photographing a cosmetic container with a camera based on deep learning, predicting the user's skin type by analyzing the using cosmetic based on deep learning, and then recommending a cosmetic suitable for the user's skin type. According to the present disclosure, it is possible to enhance user's convenience and satisfaction with skin care and reduce the time and cost required for selecting cosmetics suitable for the user's skin type by analyzing the cosmetics held by the user through artificial intelligence based on deep learning to estimate the user's skin type and then automatically selecting and providing cosmetics suitable for the user's skin type from among the cosmetics held by the user according to the estimated skin type.

A computing device, comprising: a computing module, comprising one or more computing units; and a control module, comprising a computing control unit, and used for controlling shutdown of the computing unit of the computing module according to a determining condition. Also provided is a computing method. The computing device and method have the advantages of low power consumption and high flexibility, and can be combined with the upgrading mode of software, thereby further increasing the computing speed, reducing the computing amount, and reducing the computing power consumption of an accelerator.