Genius-Society/CBIR

简介 Intro

基于内容的图像检索数据集是一个专门用于图像识别和检索技术的集合，它包含了以内容为特征的多种图像类别。该数据集涵盖了“Tribe”（部落）、“Beach”（海滩）、“Architecture”（建筑）、“Bus”（公交车）、“Dinosaur”（恐龙）、“Elephant”（大象）、“Flower”（花卉）、“Horse”（马）、“Mountain”（山）和“Food”（食物）共10个类别的图像，为计算机视觉领域的研究和应用提供了丰富的资源。

The content-based image retrieval dataset is a collection specifically designed for image recognition and retrieval technology, encompassing a variety of image categories characterized by their content. This dataset includes images from 10 categories: "Tribe" (tribal), "Beach" (beach), "Architecture" (architecture), "Bus" (bus), "Dinosaur" (dinosaur), "Elephant" (elephant), "Flower" (flower), "Horse" (horse), "Mountain" (mountain), and "Food" (food), providing a rich resource for research and applications in the field of computer vision.

数据预览 Viewer

https://www.modelscope.cn/datasets/Genius-Society/CBIR/dataPeview

image	label (10-class)
.jpg	部落(0 Tribe) / 海滩(1 Beach) / 建筑(2 Architecture) / 公交车(3 Bus) / 恐龙(4 Dinosaur) / 大象(5 Elephant) / 花卉(6 Flower) / 马(7 Horse) / 山(8 Mountain) / 食物(9 Food)

维护 Maintenance

git clone [email protected]:datasets/Genius-Society/CBIR
cd CBIR

使用 Usage

from datasets import load_dataset

ds = load_dataset("Genius-Society/CBIR", name="default", split="train")
for item in ds:
    print(item)

镜像 Mirror

https://www.modelscope.cn/datasets/Genius-Society/CBIR