imagenet_sketch

ImageNet-Sketch data set consists of 50000 images, 50 images for each of the 1000 ImageNet classes.
We construct the data set with Google Image queries "sketch of __", where __ is the standard class name.
We only search within the "black and white" color scheme. We initially query 100 images for every class,
and then manually clean the pulled images by deleting the irrelevant images and images that are for similar
but different classes. For some classes, there are less than 50 images after manually cleaning, and then we
augment the data set by flipping and rotating the images.

ImageNet-Sketch 数据集包含 50,000 张图片，每个 ImageNet 类别包含 50 张图片。本数据集通过 Google 图像搜索构建，以 'sketch of __' 为查询关键词，其中 __ 为标准类别名称。搜索范围限定于 '黑白' 色调。初始查询每个类别 100 张图片，随后通过手动清理删除无关图片及类似但不同类别的图片进行筛选。对于部分类别，在手动清理后图片数量不足 50 张，因此通过翻转和旋转图像对数据集进行扩充。