Alternatively, you can run the following command in your terminal if you have wget installed to download it to your current directory:wget http://cs231n.stanford.edu/tiny-imagenet-200.zip Setting Up Your EnvironmentAnacondaUsing Anaconda is a GREAT way to keep everything consistent regardless ...
transform the mini-imagenet dataset which is initially created for the few-shot learning to the format that fit the classical classification task. You can also use this package to download and obtain the raw data of the mini-imagenet dataset (for few-shot learning tasks). transform the tiny...
TinyImageNet是一个图像分类数据集,它是ImageNet数据集的一个子集。TinyImageNet包含了200个类别的图像,每个类别有500张训练图像、50张验证图像和50张测试图像。这些图像的大小为64x64像素,非常适合用于计算机视觉任务的快速原型设计和初步测试。 2. TinyImageNet数据集的特点 类别数量适中:TinyImageNet包含200个类别,...
In terms of the network training platform, the operating system is Windows 10, the CPU is an Intel i7-9700KF with 3.6 GHz clock speed, the memory size is 16 GB, the GPU is a NVIDIA GEFORCE RTX 2070 Super with 8 GB memory size, the deep learning framework is AlexeyAB-Darknet, and ...
Imagenet classifier and general purpose backbone. ConvNextTiny is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases. Download ModelConvNext-Tiny ...
Imagenet classifier and general purpose backbone. ConvNextTiny is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases. Download ModelModel...
This study aims to develop a deep learning model to improve the accuracy of identifying tiny targets on high resolution remote sensing (HRS) images. We propose a novel multi-level weighted depth perception network, which we refer to as MwdpNet, to better
Alternatively, you can run the following command in your terminal if you havewgetinstalled to download it to your current directory: 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...
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sample.txt- a sample submission file in the correct format (but needs to have 10,001 lines. One line per image in addition to the first header line) wnids.txt- list of the used ids from the original full set of ImageNet words.txt- description of all ids of ImageNet ...