{"url":"/dataset/etdii-dataset","name":"ETDII Dataset","full_name":"Electric Transmission and Distribution Infrastructure Imagery Dataset","description_markdown":"Paper: GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery\r\n\r\nAuthors: Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan Malof\r\n\r\nThis dataset contains fully annotated electric transmission and distribution infrastructure for approximately 264 km2 of high resolution satellite and aerial imagery, spanning 7 cities and 2 countries across 5 continents.\r\n\r\nThis dataset was designed for training machine learning algorithms to automatically identify electricity infrastructure in satellite imagery; for those working on identifying the best pathways to electrification in low and middle income countries, and for researchers investigating domain adaptation for computer vision.","description_withheld":null,"homepage":"https://figshare.com/articles/dataset/Electric_Transmission_Infrastructure_Satellite_Imagery_Dataset_for_Computer_Vision/14935434","introduced_date":"2021-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"}],"languages":[],"variants":["ETDII Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/2d-object-detection-on-etdii-dataset","task":"2D Object Detection","dataset_variant":"ETDII Dataset","rows":1,"metrics":["mAP@0.5"],"first_row_in_archive_order":{"model":"SCAResNet","paper":"/paper/scaresnet-a-resnet-variant-optimized-for-tiny","metrics":{"mAP@0.5":"62.6"},"code_links":[{"title":"lisavilalee/scaresnet_mmdet","url":"https://github.com/lisavilalee/scaresnet_mmdet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/scaresnet-a-resnet-variant-optimized-for-tiny","title":"SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers","date":"2024-04-05","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}