graviti logo产品公开数据集关于我们
Demo演示登录
113
0
0
VOC2012PersonLayout
概要
讨论
代码
活动
info
1b0343f·
Aug 3, 2021 1:24 PM
·2Commits

Overview

The main goal of this challenge is to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). It is fundamentally a supervised learning learning problem in that a training set of labelled images is provided. The twenty object classes that have been selected are:

  • Person: person
  • Animal: bird, cat, cow, dog, horse, sheep
  • Vehicle: aeroplane, bicycle, boat, bus, car, motorbike, train
  • Indoor: bottle, chair, dining table, potted plant, sofa, tv/monitor

There are three main object recognition competitions: classification, detection, and segmentation, a competition on action classification, and a competition on large scale recognition run by ImageNet. In addition there is a “taster” competition on person layout.

Person Layout Taster Competition

  • Person Layout: Predicting the bounding box and label of each part of a person (head, hands, feet).

Citation

Please use the following citation when referencing the dataset:

@misc{pascal-voc-2012,
author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2012 {(VOC2012)} {R}esults",
howpublished = "http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html"}
数据预览
查看数据
🎉感谢DL数据集的贡献
数据集信息
应用场景暂无
标注类型BOX2D
任务类型暂无
LicenseCustom
更新时间2021-08-03 13:26:35
数据概要
数据格式暂无
数据数量17.13K
已标注数量17134
文件大小2GB
版权归属方
The PASCAL Visual Object Classes
标注方
未知
了解更多和支持
立即开始构建AI
免费开始联系我们