cifar10 uoft-cs
Dataset Card for CIFAR-10 Dataset Summary 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 dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar10.
- 类型
- dataset
- 许可
- unknown
- 语言
- en
- 下载量
- 297,556
- 点赞
- 119
- 访问
- public
- 文件
- 0
标签
- 图像分类
- 图像数据集
- 评测基准
- 计算机视觉
- 深度学习
摘要
CIFAR-10是计算机视觉领域最经典的图像分类基准数据集，包含60000张32x32彩色图像，分为10个类别（飞机、汽车、鸟、猫等），每类6000张图像。提供50000张训练图像和10000张测试图像，广泛用于图像分类算法的训练与性能评测。适合作为深度学习模型（尤其是视觉模型）的入门训练集和学术研究的标准评测基准。
README
--- annotations_creators: - crowdsourced language_creators: - found language: - en license: - unknown multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - extended|other-80-Million-Tiny-Images task_categories: - image-classification task_ids: [] paperswithcode_id: cifar-1…