[P] Introducing GeoCOCO: Easily transform GIS annotations into Microsoft's Common Objects In Context (COCO) datasets for use in deep learning

[https:\/\/github.com\/jaspersiebring\/geococo](https://preview.redd.it/d5szdz95vspb1.png?width=597&format=png&auto=webp&s=d3602a08801e3c8c90193ee125fffe179e9aa15b)

Introducing GeoCOCO, an open source project that enables users to turn their GIS annotations (e.g. shapefile) into COCO datasets which can then be used to train computer vision models!

It allows users to use the likes of QGIS, ArcGIS to annotate geographic imagery in the same way you would annotate non-geographic imagery with [LabelMe](https://github.com/wkentaro/labelme). It is powered by Python and a variety of packages (e.g. `pydantic`, `pandera`, `geopandas`, `pycocotools`). On the more meta side, it also features automated tests/builds/releases …

annotations case computer computer vision datasets etc feedback flaws gis machinelearning open source project shapefile vision vision models