An object recognition device includes an acquisition unit configured to acquire a recognition target image that serves as an object to be recognized; a retrieval unit configured to search an image database storing a plurality of image data in association with tag information and retrieve a similar image that matches the recognition target image; and a recognition unit configured to recognize the object included in the recognition target image on the basis of tag information associated with a similar image obtained by the retrieval unit. The recognition may select the tag information that appears most frequently among the tag information associated with the similar images as a recognition result. The recognition unit may also compute a tag information reliability score from the similar image in the retrieval result and recognize an object taking into account said reliability score.

An object recognition device includes an acquisition unit configured to acquire a recognition target image that serves as an object to be recognized; a retrieval unit configured to search an image database storing a plurality of image data in association with tag information and retrieve a similar image that matches the recognition target image; and a recognition unit configured to recognize the object included in the recognition target image on the basis of tag information associated with a similar image obtained by the retrieval unit. The recognition may select the tag information that appears most frequently among the tag information associated with the similar images as a recognition result. The recognition unit may also compute a tag information reliability score from the similar image in the retrieval result and recognize an object taking into account said reliability score.

Digital information to be associated with a component can be generated and used to alter a digital model of the component. A line of sight to at least a portion of a marking device and the component can be detected, and at least one of an orientation or a position of an endpoint of the marking device relative to the component can be determined using the line of sight. Digital information indicative of the at least one of the orientation or the position of the endpoint relative to the component can be generated responsive to the endpoint of the marking device contacting the component. The digital information can be used to alter a digital model based on defects of the component corresponding to portions contacted by the endpoint of the marking device.

Methods, systems and computer program products for updating a social media post based on subsequent related social media content. Aspects include receiving first social media content and second social media content, wherein the first and second social media are displayed in a respective first and second social media posts associated with a user account. Aspects also include determining that the first social media content is correlated to the second social media content based on contextual analysis. Aspects also include updating the first social media post to include an indication of the second social media post.

A system is provided for identifying damages of a vehicle. During operation, the system can obtain a set of digital images associated with a set of tagged digital images as training data. Each tagged digital image in the set of tagged digital images may include at least one damage object. The system can train a damage identification model based on the training data. When training the damage identification model, the system may identify at least a damage object in the training data based on a target detection technique. The system may also generate a set of feature vectors for the training data. The system can use the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model. The system can then apply the trained damage identification model to obtain a damage category prediction result

A method and device for classifying collected images. The method and device include instructions to compare a captured image to a known set of images to determine the location depicted therein; and applying a classification upon the image based upon the determined location depicted therein and whether the determined location indicates that the image has the potential to depict privacy sensitive information.

Systems, methods, and non-transitory computer readable media for managing content items having multiple resolutions may be provided. In some embodiments, a user device may send a request to access one or more images from a content management system. The one or more images may be categorized on the user device by an expected use that determines that the one or more images be in a first version. A second version of the one or more images may be received while a background download of the first version of the one or more images may be performed. In some embodiments, the first version may correspond to a high-resolution image whereas the second version may correspond to a lower resolution image.

Systems and methods are provided for automating user input using onscreen content. For example, a method includes receiving a selection of a first screen capture image representing a screen captured on a mobile device associated with a user, the first image having a first timestamp. The method also includes determining, using a data store of images of previously captured screens of the mobile device, a reference image from the data store that has a timestamp prior to the first timestamp, identifying a plurality of images in the data store that have respective timestamps between the timestamp for the reference image and the first timestamp, and providing the reference image, the plurality of images, and the first image to the mobile device.

Techniques for capturing images are described. In one scenario, one or more processors of an imaging device can obtain geodata information and time information associated with the imaging device. The geodata and time information is obtained prior to capturing a first image. Next, one or more second images can be identified from a database of images based on the geodata information and the time information. The processor(s) can be communicatively coupled to the database via a communications network. Additionally, the one or more processors can determine one or more image capture conditions associated with the one or more second images; and automatically modify one or more settings of the imaging device to be used for capturing the first image. The settings can be modified based on at least one of the one or more image capture conditions associated with the one or more second images. Other embodiments are possible.

Image search persona techniques and systems are described. In one or more implementations, a digital medium environment is described for controlling image searches by one or more computing devices. An image search request and an indication of one or more personas of one or more respective users associated with the image search request is received by the one or more computing devices. The one or more personas specify characteristics of the one or more respective users themselves. A plurality of images are obtained by the one or more computing devices based on the image search request. The plurality of images are filtered by the one or more computing devices based on the one or more personas and a search result is generated by the one or more computing devices from the filtered plurality of images.