Based on the abovementioned evaluation criteria in this chapter, it is easy to know that the dataset commonly used by the ImageNet 2012 has 1000 class labels in the image classification task, and the prediction result provided by the model is also a 1000-dimension vector. As shown below, ea...
so this is the version on which we performed most of our experiments. Since we also entered our model in the ILSVRC-2012 competition, in Section 6 we report our results on this version of the dataset as well, for which test set labels are unavailable. On ImageNet, it is customary to...
so this is the version on which we performed most of our experiments. Since we also entered our model in the ILSVRC-2012 competition, in Section 6 we report our results on this version of the dataset as well, for which test set labels are unavailable. On ImageNet, it is customary to...
However, the immense complexity of the object recognition task means that this problem cannot be specified even by a dataset as large as ImageNet, so our model should also have lots of prior knowledge to compensate for all the data we don’t have. 然而,对象识别任务的巨大复杂性意味着即使是...
an annual competition called the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) has been held. ILSVRC uses a subset of ImageNet with roughly 1000 images in each of 1000 categories. In all, there are roughly 1.2 million training images, 50,000 validation images, and 150,000 testing...
In their paper, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification (opens in new tab), the researchers say their system achieved a 4.94 percent error rate on the 1000-class ImageNet 2012 classification dataset, which contains about 1.2 million training image...
so this is the version on which we performed most of our experiments. Since we also entered our model in the ILSVRC-2012 competition, in Section 6 we report our results on this version of the dataset as well, for which test set labels are unavailable. On ImageNet, it is customary to ...
ILSVRC用ImageNet的部分数据集,包含1000个类别,每个类别选取约1000张图像,总计有120万张训练图像,5万张验证图像,和15万张测试图像。 ILSVRC-2010是所有ILSVRC系列比赛中唯一提供测试图像标签的比赛,所以我们大部分的实验是基于该数据集。我们还将模型应用于ILSVRC-2012,在第六节中我们会提供训练结果,不过该数据集没有...
We perform the experiments on the 1000-class ImageNet 2012 dataset [22] which contains about 1.2 million training images, 50,000 validation images, and 100,000 test images (with no published labels). The results are measured by top1/top-5 error rates [22]. We only use the provided data...
Since we also entered our model in the ILSVRC-2012 competition, in Section 6 we report our results on this version of the dataset as well, for which test set labels are unavailable. On ImageNet, it is customary to report two error rates: top-1 and top-5, where the top-5 error rate...