CIFAR|10 and CIFAR|100 datasets
CIFAR-10 and CIFAR-100 datasets
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The ...
CIFAR-100 Dataset - Papers With Code
The CIFAR-100 dataset (Canadian Institute for Advanced Research, 100 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color ...
A collection of images commonly used to train computer vision algorithms.
The CIFAR-10 dataset is a collection of images that are commonly used to train machine learning and computer vision algorithms. It is one of the most widely ...
cifar100 | TensorFlow Datasets
This dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class.
uoft-cs/cifar100 · Datasets at Hugging Face
The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 500 training images and 100 testing images per ...
CIFAR-10 Dataset | Papers With Code
The CIFAR-10 dataset (Canadian Institute for Advanced Research, 10 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images.
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
CIFAR-100 dataset - GitHub Pages
This dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class.
CIFAR-100 dataset by classes folder - GitHub
CIFAR-100 dataset by classes folder. Contribute to cyizhuo/CIFAR-100-dataset development by creating an account on GitHub.
CIFAR100 — Torchvision 0.19 documentation - PyTorch
CIFAR100. class torchvision.datasets.CIFAR100(root: Union[str, Path] ... CIFAR100 Dataset. This is a subclass of the CIFAR10 Dataset. Special-members ...
CIFAR-100 - Ultralytics YOLO Docs
The CIFAR-100 dataset is extensively used for training and evaluating deep learning models in image classification tasks.
CIFAR-10 - UCI Machine Learning Repository
The CIFAR-10 dataset was developed for evaluation of deep generative models in 2009 and has subsequently been widely adopted as a machine learning benchmark.
CIFAR 100 Dataset - GeeksforGeeks
The CIFAR-100 dataset is primarily used in machine learning and computer vision research for object recognition and classification tasks. It ...
CIFAR10 small images classification dataset - Keras
This is a dataset of 50,000 32x32 color training images and 10,000 test images, labeled over 10 categories. See more info at the CIFAR homepage. The classes are ...
CIFAR 100 Dataset - Machine Learning Datasets - Activeloop
CIFAR 100 is similar to the CIFAR 10 dataset; however, it contains 100 classes of 600 images. Each image comes with a “fine” label (class it belongs to) and a “ ...
CIFAR-10 & CIFAR-100 - Complex Adaptive Systems Laboratory
CIFAR-10 & CIFAR-100: These two datasets are labeled images from a parent dataset called Tiny Images Dataset (which is available on ...
CIFAR 100 Class Image Classification - GitHub
Deep Learning model for predicting image classification using CIFAR 100 dataset - BillyBSig/CIFAR-100-TFDS.
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torchvision.datasets - PyTorch
root (string) – Root directory of dataset where directory cifar-10-batches ... CIFAR100 Dataset. This is a subclass of the CIFAR10 Dataset. Cityscapes.