Omkar2118/datasets huggingface dataset:
Wine
Full name: Wine Data Set

These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.

Source: [UCI Machine Learning Repository Wine Dataset](https://archive.ics.uci.edu/ml/datasets/Wine)
Image Source: [https://archive.ics.uci.edu/ml/datasets/Wine](https://archive.ics.uci.edu/ml/datasets/Wine)

Introducing paper: Endgame Analysis of Dou Shou Qi
WDBC
Full name: Breast Cancer Wisconsin (Diagnostic)

Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass.  They describe characteristics of the cell nuclei present in the image. 569 samples, 30 features.
FSS-1000

**FSS-1000** is a 1000 class dataset for few-shot segmentation. The dataset contains significant number of objects that have never been seen or annotated in previous datasets, such as tiny daily objects, merchandise, cartoon characters, logos, etc.

Source: [https://github.com/HKUSTCV/FSS-1000](https://github.com/HKUSTCV/FSS-1000)
Image Source: [https://github.com/HKUSTCV/FSS-1000](https://github.com/HKUSTCV/FSS-1000)

Introducing paper: FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Pinterest

The **Pinterest** dataset contains more than 1 million images associated to Pinterest users’ who have “pinned” them.

Source: [https://openaccess.thecvf.com/content_iccv_2015/papers/Geng_Learning_Image_and_ICCV_2015_paper.pdf](https://openaccess.thecvf.com/content_iccv_2015/papers/Geng_Learning_Image_and_ICCV_2015_paper.pdf)

Introducing paper: Learning Image and User Features for Recommendation in Social Networks