license: cc-by-nc-nd-4.0
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 git@hf.co: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)