ImageCLEF 2022

ImageCLEF 2022是作为CLEF initiative labs的一部分组织的评估活动。该活动提供了一些研究任务，欢迎世界各地的团队参与。运动的结果出现在CEUR研讨会论文集 (CEUR-WS.org) 出版的工作说明论文集中。参与者中的选定贡献将被邀请在次年的Springer计算机科学讲义 (LNCS) 以及年度实验室概述中出版。
对于2022版，ImageCLEF组织了4个主要任务，其全球目标是促进对视觉数据的注释，索引和检索技术的评估，目的是为各种使用场景和应用领域中的大量图像提供信息访问: 医疗，自然，互联网和社交媒体。
目标社区涉及 (但不限于): 信息检索 (例如，文本、视觉、音频、多媒体、社交媒体、传感器数据) 、机器学习、深度学习、数据挖掘、自然语言处理、图像和视频处理；特别强调多模态、多语言和交互式搜索的挑战。

ImageCLEF 2022 is an evaluation event organized as part of the CLEF Initiative Labs. This event offers several research tasks, welcoming teams from across the globe to participate. Event results are published in the working note proceedings hosted by CEUR Workshop Proceedings (CEUR-WS.org). Selected contributions from participants will be invited for publication in the following year's Lecture Notes in Computer Science (LNCS) published by Springer, as well as in the annual lab overview.
For the 2022 edition, ImageCLEF organized four core tasks, whose overarching goal is to facilitate the evaluation of annotation, indexing and retrieval technologies for visual data, aiming to enable informed access to large-scale image collections across diverse usage scenarios and application domains: healthcare, natural environments, the internet, and social media.
Target communities include, but are not limited to: information retrieval (e.g., text, visual, audio, multimedia, social media, sensor data), machine learning, deep learning, data mining, natural language processing, image and video processing; with special emphasis on the challenges of multimodal, multilingual, and interactive search.

搜集汇总

背景与挑战

背景概述

ImageCLEF 2022是一个由CLEF initiative labs组织的评估活动数据集，属于智慧医疗领域，旨在促进视觉数据的注释、索引和检索技术的评估，覆盖医疗、自然、互联网和社交媒体等多个应用场景。该数据集包含4个主要任务，专注于多模态、多语言和交互式搜索的挑战，目标社区包括信息检索、机器学习和深度学习等领域，由多个学术机构在2022年联合发布。