ImageNet数据集（百度网盘）

ImageNet数据集（百度网盘）

原文：

ILSVRC 2012, commonly known as '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 test split contains 100K images but no labels because no labels have been publicly released. To assess the accuracy of a model on the ImageNet test split, one must run inference on all images in the split, export those results to a text file that must be uploaded to the ImageNet evaluation server. The maintainers of the ImageNet evaluation server permits a single user to submit up to 2 submissions per week in order to prevent overfitting.

To evaluate the accuracy on the test split, one must first create an account at image-net.org. This account must be approved by the site administrator. After the account is created, one can submit the results to the test server at The submission consists of several ASCII text files corresponding to multiple tasks. The task of interest is "Classification submission (top-5 cls error)".

译：

ILSVRC 2012，俗称“ImageNet”，是根据WordNet层次结构组织的图像数据集。WordNet中的每个有意义的概念，可能由多个单词或词组描述，称为“同义词集”或“synset”。WordNet中有超过100000个语法集，其中大部分是名词（80000+）。在ImageNet中，我们的目标是平均提供1000张图像来说明每个synset。每个概念的图像都经过质量控制和人工注释。在它的完成中，我们希望ImageNet能够为WordNet层次结构中的大多数概念提供数以千万计的干净排序的图像。

测试分割包含100K个图像，但是没有标签，因为没有公开发布标签。要评估ImageNet测试分割模型的准确性，必须对分割中的所有图像运行推断，将这些结果导出到文本文件中，该文件必须上载到ImageNet评估服务器。ImageNet评估服务器的维护人员允许单个用户每周提交最多2次提交，以防止过度拟合。

要评估测试分割的准确性，必须首先在image创建一个帐户-net.org网站. 此帐户必须由站点管理员批准。创建帐户后，可以将结果提交到位于的测试服务器http://image-net.org/challenges/LSVRC/2013/test_服务器提交由多个对应于多个任务的ASCII文本文件组成。感兴趣的任务是“分类提交（前5个cls错误）”。

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