LogoDet-3K

LogoDet-3K是由山东师范大学信息科学与工程学院创建的大规模商标检测数据集，包含3,000个商标类别，约200,000个手工标注的商标对象和158,652张图像。该数据集通过严格的收集和标注流程构建，旨在为商标检测提供更全面的覆盖和多样性。LogoDet-3K适用于解决多媒体领域中的版权侵权检测、品牌可见性监控和社交媒体上的产品品牌管理等问题，为大规模商标相关研究提供了强有力的支持。

LogoDet-3K is a large-scale trademark detection dataset developed by the School of Information Science and Engineering, Shandong Normal University. It encompasses 3,000 trademark categories, approximately 200,000 manually annotated trademark instances and 158,652 images. Constructed through a rigorous collection and annotation workflow, this dataset is designed to provide comprehensive coverage and diversity for trademark detection tasks. LogoDet-3K can be applied to solve problems such as copyright infringement detection, brand visibility monitoring and product brand management on social media in the multimedia field, offering robust support for large-scale trademark-related research.

搜集汇总

背景与挑战

背景概述

LogoDet-3K是一个大规模商标检测数据集，由山东师范大学信息科学与工程学院创建，包含3,000个商标类别、约200,000个手工标注对象和158,652张图像，通过严格的流程构建以增强覆盖和多样性。它适用于多媒体领域的版权侵权检测、品牌监控和管理等任务，为商标相关研究提供有力支持。