Omkar2118/datasets huggingface dataset:
Simulated wind farm graph dataset
Full name: floris-wind-farm-dataset

## FLORIS farm dataset
A dataset for graph neural network modeling of wind farms. The current version of the dataset contains two farms, with very different geometry but similar inter-turbine statistics. The wind farms were simulated with the steady-state wake model [FLORIS](https://github.com/NREL/floris).

Introducing paper: Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
VizWiz-Classification

Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform well on images from another domain. Complementing existing work in robustness testing, we introduce the first test dataset for this purpose which comes from an authentic use case where photographers wanted to learn about the content in their images. We built a new test set using 8,900 images taken by people who are blind for which we collected metadata to indicate the presence versus absence of 200 ImageNet object categories. We call this dataset VizWiz-Classification.

Introducing paper: A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories
Honeycombs in Concrete
Full name: Honeycombs in Concrete Instance Segmentation

The directory HiCIS contains two datasets for instance segmentation of honeycombs in concrete in COCO Format. The datasets orginate from images scraped from the internet and the other one is provided by Metis Systems AG. The directory HiCC/web contains the dataset using the images from the internet and HICC/metis contains the dataset using the images provided by Metis Systems AG as part of the research project Smart Design and Construction (SDaC).

Introducing paper: Image-based Detection of Surface Defects in Concrete during Construction