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VOC2012 Segmentation
创建来自Hello Dataset / Robert
概要
活动

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 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.

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"}

License

Custom

数据集信息
应用场景Common
标注类型Semantic Segmentation 2DInstance Segmentation 2D
LicenseCustom
更新时间2021-03-24 22:48:41
数据概要
数据格式Image
数据数量17.13k
文件大小2MB
标注数量0
版权归属方
The PASCAL Visual Object Classes
标注方
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