MPEG-7 Core Experiment CE-Shape-1

Here are the first shapes from each class in the MPEG-7 Core Experiment CE-Shape-1 Test Set. MPEG-7 Core Experiment CE-Shape-1 [?] is a popular database for shape matching evaluation consisting of 70 shape categories, where each category is represented by 20 different images with high intra-class variability. The shapes are defined by a binary mask outlining the objects. The evaluation protocol for this retrieval task is the bullseye rating, in which each image is used as reference and compared to all of the other images. The mean percentage of correct images in the top 40 matches (the 40 images with the lowest shape similarity values) is taken as bullseye rating. The Latecki group maintains an overview of recent results here: shape/MPEG7/results.html. Download MPEG-7 Core Experiment CE-Shape-1 latecki/TestData/mpeg7shapeB.tar.gz Note: It raises interesting questions how to define the shape of an object, as there are very similar

以下是来自MPEG-7核心实验CE-Shape-1测试集中各类别的首批形状。MPEG-7核心实验CE-Shape-1（CE-Shape-1）是一项广受欢迎的形状匹配评估数据库，包含70个形状类别，每个类别由20张不同图像表示，这些图像在类内具有高变异度。这些形状由一个二进制掩码定义，该掩码勾勒出物体的轮廓。该检索任务的评估协议是靶心评分，其中每个图像作为参照，与所有其他图像进行比较。将正确图像的平均百分比在顶部40个匹配项（形状相似度值最低的40个图像）中作为靶心评分。Latecki小组在此处维护了最近的结果概览：shape/MPEG7/results.html。下载MPEG-7核心实验CE-Shape-1，请访问latecki/TestData/mpeg7shapeB.tar.gz。注意：如何定义物体的形状提出了有趣的问题，因为存在非常相似的形状。

搜集汇总

背景与挑战

背景概述

MPEG-7 Core Experiment CE-Shape-1是一个1999年发布的形状匹配评估数据集，包含70个类别，每个类别有20张图像，总计1406个文件，数据量约3.43MB。该数据集以二进制掩码形式定义物体轮廓，具有高类内变异性，常用于形状检索任务的牛眼评分评估。