PASCAL VOC 2007

这个挑战的目标是从现实场景中的许多视觉对象类别中识别对象（即不是预先分割的对象）。它基本上是一个监督学习问题，因为它提供了一组标记图像的训练集。已选择的 20 个对象类别是： 人：人 动物：鸟、猫、牛、狗、马、羊 交通工具：飞机、自行车、船、公共汽车、汽车、摩托车、火车 室内：瓶子、椅子、餐桌、盆栽、沙发、电视/显示器 将有两个主要比赛和两个较小规模的“品酒师”比赛。内容：提供的训练数据由一组图像组成；每个图像都有一个注释文件，为图像中存在的 20 个类别之一中的每个对象提供一个边界框和对象类别标签。请注意，来自多个类的多个对象可能出现在同一图像中。

The goal of this challenge is to recognize objects (i.e., non-pre-segmented objects) from numerous visual object categories in real-world scenes. It is essentially a supervised learning problem, as a training set of labeled images is provided. The 20 selected object categories are:
Person: person
Animals: bird, cat, cow, dog, horse, sheep
Vehicles: airplane, bicycle, boat, bus, car, motorcycle, train
Indoor: bottle, chair, dining table, potted plant, sofa, TV/monitor
There will be two main competitions and two smaller-scale "wine taster" competitions.
Content: The provided training data consists of a set of images; each image has an accompanying annotation file that provides a bounding box and object category label for each object belonging to one of the 20 categories present in the image. Note that multiple objects from multiple categories may appear in the same image.