cvdl/oxford-pets

Oxford Pets是一个包含图像、分割掩码和边界框的多模态数据集，针对37种特定的猫和狗品种。数据集中的图像具有以下特征字段：RGB图像（img）、灰度分割图像（msk）、边界框（bbox）、二分类标签（class）以及细粒度的品种分类（category）。数据集分为训练集、验证集和测试集，分别包含2567、701和403个样本。数据集的总大小约为1.13GB，下载大小约为1.14GB。数据集可用于图像分类、目标检测和语义分割等任务。

Oxford Pets is a multi-modal dataset containing images with segmentation masks and bounding boxes for 37 specific cat and dog breeds. The images in the dataset have the following feature fields: RGB image (img), grayscale segmentation image (msk), bounding boxes (bbox), binary class label (class), and fine-grained breed classification (category). The dataset is split into training, validation, and test sets, containing 2567, 701, and 403 samples respectively. The total size of the dataset is approximately 1.13GB, with a download size of about 1.14GB. The dataset can be used for tasks such as image classification, object detection, and semantic segmentation.