A method and system for acquiring species identification names and a readable storage medium are provided. The method includes: identifying a species image provided by a user according to a species identification model and acquiring a species name; acquiring a plurality of candidate species names according to a species name database; and acquiring a species identification result name according to geographical area information and/or confidence coefficients of the candidate species names. The candidate species names include a plurality of conventional names. The method further includes: determining whether the species name is present in the pre-established species name database, where the species name database records the common names of a same species in different geographical areas; and selecting a conventional name of the species name corresponding to the geographical area information from the species name database and acquiring and outputting the identification result of the species.

A method and system for acquiring species identification names and a readable storage medium are provided. The method includes: identifying a species image provided by a user according to a species identification model and acquiring a species name; acquiring a plurality of candidate species names according to a species name database; and acquiring a species identification result name according to geographical area information and/or confidence coefficients of the candidate species names. The candidate species names include a plurality of conventional names. The method further includes: determining whether the species name is present in the pre-established species name database, where the species name database records the common names of a same species in different geographical areas; and selecting a conventional name of the species name corresponding to the geographical area information from the species name database and acquiring and outputting the identification result of the species.

A device, system, and method to enable the automatic search of personal profiles in the context of on-line dating that includes the ability to select personal profile images which a likelihood of being perceived as attractive to the person conducting the search. Additionally, by way of further non-limiting example, the device, system, and method is useful in applications such as automatically searching hundreds of actor or model headshots and selecting the ones the director/photographer will approve of for a particular photoshoot, film, or commercial. Further aspects of the invention provide methods of identifying faces that are predicted to be attractive to multiple individuals.

A device, system, and method to enable the automatic search of personal profiles in the context of on-line dating that includes the ability to select personal profile images which a likelihood of being perceived as attractive to the person conducting the search. Additionally, by way of further non-limiting example, the device, system, and method is useful in applications such as automatically searching hundreds of actor or model headshots and selecting the ones the director/photographer will approve of for a particular photoshoot, film, or commercial. Further aspects of the invention provide methods of identifying faces that are predicted to be attractive to multiple individuals.

Systems and methods for multi-modal representation learning are described. One or more embodiments provide a visual representation learning system trained using machine learning techniques. For example, some embodiments of the visual representation learning system are trained using cross-modal training tasks including a combination of intra-modal and inter-modal similarity preservation objectives. In some examples, the training tasks are based on contrastive learning techniques.

A computer-implemented method for generating personalized image filters is disclosed. The computer-implemented method includes receiving a user request to generate a filter for an input image. The computer-implemented method further includes generating one or more keyword lists associated with the input image. The computer-implemented method further includes determining one or more themes associated with the input image based, at least in part, on one or more keywords selected from the one or more keyword lists. The computer-implemented method further includes identifying one or more candidate images matching the one or more themes associated with the image. The computer-implemented method further includes generating one or more personalized image filters based on one or more features from one or more of the candidate images.

To dynamically re-color scalable graphic images in web applications, a server may send an image filename to a web application operating on a client device. Before displaying the image, the client device may send a request back to the server identifying the image and providing color codes for the image. The server may load an image file for the identified image and replace generic placeholders in the image file with the color codes sent from the client device. The re-colored image file may then be sent back to the client device for display. The server may receive subsequent requests to re-color the image using different color codes in response to user inputs at the client device, such as clicking or hovering over the image.

Disclosed herein are methods and systems of metadata management for reviewing data from microscopy experimental sessions. Image data from an experimental session is stored in an archive at one or more filepath locations, either locally or on a network. Metadata associated with the image data is stored in a database with a reference to the filepath where the raw image is stored, such that the metadata is associated in the database with the image data. A user can perform post-experimental filtering, sorting, and searching of the underlying image data using the metadata, which allows the image data to be analyzed without duplication of the image data and without manual review of each individual image. The filtered data is presented in an interactive timeline format.

The present invention is directed to a tool that enables songwriters to efficiently solicit and analyze listener feedback during the songwriting process. To begin, a songwriter uploads a song to an online platform. The online platform presents the song and a feedback interface to a music listener. As the song plays, the listener provides feedback about the song using the feedback interface. For example, the listener may indicate that she likes or dislikes a particular element of the song, such as an instrument, at a specific point in time. The feedback is timestamped, processed, and presented to the songwriter for analysis. Provided feedback may also be used for recommending subsequent songs to the listener. The interactive music feedback system described herein may integrate with a variety of music streaming platforms.

Systems and methods of the present disclosure are directed to analyzing screenshots A system can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.