Weed Images is a project of the University of Georgia’s Center for Invasive Species and Ecosystem Health and one of the four major parts of BugwoodImages. The Focus is on damages of weed. It provides
A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (g
The data we used to evaluate Louvain Method in the study Benchmarking Graph Databases on the Problem of Community Detection. These data werw synthetically generated using the LFR-Benchmark (3rd link).