简介:tiny-imagenet-200 是 ImageNet 数据集的一个子集。它包括 200 个不同的类别,每个类别有 500 张训练图像、50 张验证图像和 50 张测试图像。与完整的 ImageNet 数据集相比,每张图片的分辨率也减小到了 64x64 像素。 官方网页:http://cs231n.stanford.edu/tiny-imagenet-200.zip ...
Tiny ImageNet数据集是从ImageNet数据集中抽取而来,ImageNet是一个大规模的图像数据库,包含了各种各样的图像和对应的标签。 1.2数据集规模 Tiny ImageNet数据集相对于原始的ImageNet数据集来说规模较小,包含200个类别,每个类别有500个训练图像,50个验证图像和50个测试图像。 2. Tiny ImageNet数据集的特点 2.1图像...
Tiny-ImageNet,200种分类,已对数据进行处理,包含train_list.txt和val_list.txt两个文件(适应于paddleclass工具包的训练,直接在配置文件指定2个文件的路径即可) - 飞桨AI Studio
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset. pythonanacondaimagenetconvolutional-neural-networkshyperparameter-searchtiny-imagenet200tiny-imagenet UpdatedApr 12, 2019 ...
wget http://cs231n.stanford.edu/tiny-imagenet-200.zip Setting Up Your Environment Using Anaconda is a GREAT way to keep everything consistent regardless of what machine you run your code on. The following command will create an Anaconda virtual environment with the modules listed in requ...
in Tiny imagenet visual recognition challenge Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images and 50 test images. Source: Embedded Encoder-Decoder in Convolutional Networks Towards...
tiny-imagenet-200.zipMt**xx 上传236.61 MB 文件格式 zip 用于深度学习网络训练的数据集,可与博文中的代码进行配套练习,里面包括100000张训练集的图片,已经按照文件夹进行分类,训练集数据的信息也已经收录在txt文档中点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
存一下自己会用到的数据集 (0)踩踩(0) 所需:1积分 aspell-mr-0.10.0-20.mga10.i686 2024-12-24 19:20:45 积分:1 aspell-mr-0.10.0-20.mga10.armv7hl 2024-12-24 19:20:15 积分:1 dbnd-azkaban-agent-1.0.12.11-all.jar 2024-12-24 19:16:40 ...
wget http://cs231n.stanford.edu/tiny-imagenet-200.zip Setting Up Your Environment Using Anaconda is a GREAT way to keep everything consistent regardless of what machine you run your code on. The following command will create an Anaconda virtual environment with the modules listed in requirements...
Usability info 1.88 License Unknown Expected update frequency Not specified Tags An error occurred: Unexpected end of JSON input lightbulb See what others are saying about this dataset What have you used this dataset for? How would you describe this dataset?