Genius-Society/CBIR

Intro

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.

Viewer

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

Labels

10-class	0	1	2	3	4	5	6	7	8	9
Label	Tribe	Beach	Architecture	Bus	Dinosaur	Elephant	Flower	Horse	Mountain	Food

Maintenance

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

Usage

from datasets import load_dataset

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

Mirror

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