Hundreds of Thousands of Eclipsing Binaries from the TESS Full Frame Images

We have created over 80 million light curves from the TESS full frame images using a local implementation of the eleanor pipeline: a light curve for nearly every star brighter than 15th magnitude in the 26 TESS prime mission sectors. With this unprecedented set of light curves, we have developed a machine learning classification tool to identify classes of variable stars. Here I will focus on the ~300,000 eclipsing binaries identified via this machine learning classifier. I will present the overall sample, discuss our filters and sensitivity limits, and show how we have uniformly modeled them all and removed false positives.