FoodLogoDet-1500 高质量食品标识检测数据集

食品标志检测因其广泛的实际应用而在多媒体中发挥着重要作用，例如自助商店的食品推荐和电子商务平台上的侵权检测。然而，目前还没有包含食品品牌信息的食品标志数据集。为了支持食品标志检测工作，研究团队推出了数据集 FoodLogoDet-1500，该数据集由 1,500 个类别、 99,768 张图像和 145,400 个对象组成。这是第一个最大的公开可用的食品标识检测高质量数据集。

Food logo detection plays a critical role in multimedia due to its extensive practical applications, such as food recommendation in self-service stores and infringement detection on e-commerce platforms. However, there is currently no food logo dataset that contains food brand information. To support food logo detection research, the research team has introduced the dataset FoodLogoDet-1500, which comprises 1,500 categories, 99,768 images, and 145,400 object instances. This is the largest publicly available high-quality food logo detection dataset, and it is also the first of its kind.

搜集汇总

背景与挑战

背景概述

FoodLogoDet-1500是一个用于食品标识检测的高质量数据集，包含1,500个类别、99,768张图像和145,400个对象，旨在支持自助商店食品推荐和侵权检测等应用。该数据集是目前公开可用的最大食品标识检测数据集，由研究团队发布。