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ImageNet项目是一个用于视觉对象识别软件研究的大型可视化数据库。超过1400万的图像URL被ImageNet手动注释,以指示图片中的对象;在至少一百万个图像中,还提供了边界框。ImageNet包含2万多个类别; [2]一个典型的类别,如“气球”或“草莓”,包含数百个图像。第三方图像URL的注释数据库可以直接从ImageNet免费获得;但是,实际的图像不属于ImageNet。自2010年以来,ImageNet项目每年举办一次软件比赛,即ImageNet大规模视觉识别挑战赛(ILSVRC),软件程序竞相正确分类检测物体和场景。 ImageNet挑战使用了一个“修剪”的1000个非重叠类的列表。2012年在解决ImageNet挑战方面取得了巨大的突破,被广泛认为是2010年的深度学习革命的开始。
ImageNet对其注释过程进行了众包。 图像级注释表示图像中存在或不存在对象类,例如“此图像中有老虎”或“此图像中没有老虎”。 对象级注释提供了指定对象(的可见部分)周围的边界框。 ImageNet使用广泛的WordNet架构的变体来对对象进行分类,增加了120种类别的狗品种以展示细粒度的分类。WordNet使用的一个缺点是这些类别可能比ImageNet最适合的“提升”:“大多数人对Lady Gaga或iPod Mini比对这种罕见的双龙座更感兴趣。” 2012年,ImageNet是Mechanical Turk的全球最大学术用户。 普通工人每分钟识别50张图像。
(https://baike.baidu.com/item/ImageNet/17752829?fr=aladdin)
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
Welcome to the ImageNet project! ImageNet is an ongoing research effort to provide researchers around the world an easily accessible image database. On this page, you will find some useful information about the database, the ImageNet community, and the background of this project. Please feel free to contact us if you have comments or questions. We'd love to hear from researchers on ideas to improve ImageNet.
ImageNet is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). In ImageNet, we aim to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, we hope ImageNet will offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy.
The ImageNet project is inspired by a growing sentiment in the image and vision research field – the need for more data. Ever since the birth of the digital era and the availability of web-scale data exchanges, researchers in these fields have been working hard to design more and more sophisticated algorithms to index, retrieve, organize and annotate multimedia data. But good research needs good resource. To tackle these problem in large-scale (think of your growing personal collection of digital images, or videos, or a commercial web search engine’s database), it would be tremendously helpful to researchers if there exists a large-scale image database. This is the motivation for us to put together ImageNet. We hope it will become a useful resource to our research community, as well as anyone whose research and education would benefit from using a large image database.
We envision ImageNet as a useful resource to researchers in the academic world, as well as educators around the world.
No, ImageNet does not own the copyright of the images. ImageNet only provides thumbnails and URLs of images, in a way similar to what image search engines do. In other words, ImageNet compiles an accurate list of web images for each synset of WordNet. For researchers and educators who wish to use the images for non-commercial research and/or educational purposes, we can provide access through our site under certain conditions and terms. For details click here
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