GROC GROC is a geospatial remote sensing benchmark with paired raster tiles, labels, split files, tile extents, and source map vector data. The data are acquired from PDOK. Dataset Structure Contents rgb , cir , basemap , dsm , and lc each contain 14,499 image tiles. labels contains 12,427 public annotation files. splits/train.txt contains 9,651 samples. splits/val.txt contains 2,070 samples. splits/test.txt contains 2,072 samples. splits/benchmark.txt contains 200 benchmark samples. splits/benchmark low light.txt and splits/benchmark weather.txt each contain 100 benchmark samples. benchmark/rgb and benchmark/cir each contain 200 benchmark image tiles. gpkg/top10nl Compleet.gpkg contains 31 vector layers in EPSG:28992. File Naming Each split file stores sample stems without file extensions. The hosted dataset shards the large image and label folders by group to satisfy Hugging Face's per directory file limit. The group is the leading group prefix of the sample stem. For a sample stem such as: the group is: and the corresponding raster and label paths are: For test samples, the image products are present but label files are not included. Test Labels This release withholds labels for…
Runs entirely in your browser via DuckDB-Wasm — this dataset's real data file is loaded once, then queried locally. Nothing is sent to a server.
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