ImageCLEF

& https://lnkd.in/dwtAw9QG -- Europeana.eu: with over 53M records, the single search bar that served as the main access point was identified as a bottleneck by many users. Now users can explore over 60 curated digital exhibitions, countless galleries and blog posts. While there is a system in place to individual items given a query item, the recommendations for editorials are done now only manually. given a list of items/editorials, use AI techniques to provide a list of recommended items/editorials. 6-5-2024 are to be presented at Conference and Labs of the Evaluation Forum, 9-12 September 2024, Grenoble, France AI4Media Universitatea POLITEHNICA din București .

ImageCLEFmedical Caption in its 8th edition is open for registration and the training/validation dataset release is soon to come! Have a look at the attached Call for Participation and visit the website (https://www.imageclef.org/2024/medical/caption) for more information!

ImageCLEFmedical Caption | ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF Interpreting and summarizing the insights gained from medical images such as radiology output is a time-consuming task that involves highly trained experts and often represents a bottleneck in clinical diagnosis pipelines.

lab https://www.imageclef.org/2024 -- it evaluates the technologies for , , and of data, with its main objective in providing to large collections of multimodal data for multiple usage scenarios and domains.

The 2024 tasks are: with image captioning, image synthesis and optimal prompt generation, multimodal and generative telemedicine, medical GANs; heritage recommendation; ToPicto pictogram translation of text/speech; and image retrieval for arguments (joint task).

Results are to be presented at the annual 2024 Conference and Labs of the Evaluation Forum, in Grenoble, France, 9-12 September 2024.

https://ai4media-bench.aimultimedialab.ro/competi.../public/ via the AI4Media benchmarking platform (based on Codalab).

Universitatea POLITEHNICA din București HES-SO

Unveiling Real-Life Effects of Online Photo Sharing https://lnkd.in/dJh-VTJP :

Images constitute a large part of the content shared on social networks. Their disclosure is often related to a particular context and users are often unaware of the fact that, depending on their privacy status, images can be accessible to third parties and be used for purposes which were initially unforeseen. For instance, it is common practice for employers to search information about their future employees online.

The objective of the task is to automatically score user photographic profiles via AI in a series of situations with strong impact on her/his life, e.g., search for a bank loan, an accommodation, a job as waitress/waiter, a job in IT. This is the second edition of the task. To train the algorithms, a data set of 1,000 user profiles with 100 photos per profile was created and annotated with an appeal score for a series of real-life situations via crowdsourcing.

https://lnkd.in/dc9WtyUa
Run submission: May 6, 2022
Working notes submission: May 27, 2022
CLEF 2022 conference: September 5-8, Bologna, Italy

CEA LIST AI4Media Universitatea POLITEHNICA din București ImageCLEF