iMaterialist Fashion 服饰分割数据集

iMat Fashion 数据集中服装实例分割包括 27 个主要服装对象（夹克，裙子，裙子等）和 19 个服装部件（袖子，衣领等）以及 92 个相关的细粒度属性。该数据集是由 FGVC6 2019 iMaterialist (Fashion) 比赛提供，可用于图像分割等领域的研究

The clothing instance segmentation task of the iMat Fashion dataset includes 27 major clothing categories (such as jackets, skirts, dresses, etc.), 19 clothing components (e.g., sleeves, collars, etc.), and 92 relevant fine-grained attributes. This dataset is provided by the FGVC6 2019 iMaterialist (Fashion) Competition, and can be used for research in fields such as image segmentation.

搜集汇总

背景与挑战

背景概述

iMaterialist Fashion服饰分割数据集包含27个主要服装对象和19个服装部件的实例分割数据，以及92个细粒度属性，由FGVC6 2019比赛提供，适用于图像分割领域的研究。