PASCAL Visual Object Classes Challenge 2007 (VOC2007) Complete Dataset

==Introduction The 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 will be two main competitions, and two smaller scale "taster" competitions.

本挑战旨在识别现实场景中多种视觉物体类别（即非预分割物体）。本质上，这是一个监督学习问题，因为提供了标记图像的训练集。所选的二十种物体类别包括：人物：人类、动物：鸟类、猫、牛、狗、马、羊、车辆：飞机、自行车、船只、公共汽车、汽车、摩托车、火车、室内：瓶子、椅子、餐桌、盆栽植物、沙发、电视/显示器。比赛将分为两大主要竞赛以及两个规模较小的“尝鲜”竞赛。