{"url":"/dataset/tic-powerline-dataset","name":"TIC Powerline Dataset","full_name":"Tower Insulator Conductors Dataset for high voltage powerline inspection","description_markdown":"The TIC Dataset consists of 2056 images (512x640) of transmission line network footage in Greece (Northeast Attica) and annotations of three object classes, i.e. towers, insulators and conductors. The dataset file contains the following: i. train dataset folder (\"train\"):\r\n\r\n-\"Images\" file with 1483 images and a JSON file with corresponding annotations (polygons).\r\n\r\n-\"Labels\" file with txt annotation files (YOLO format) for each train image.\r\n\r\nii. validation dataset folder (\"valid\"):\r\n\r\n-\"Images\" file with 366 images and a JSON filewith corresponding annotations (polygons).\r\n\r\n-\"Labels\" file with txt annotation files (YOLO format) for each train image.\r\n\r\niii. Test dataset folder (\"test\")\":\r\n\r\n-\"Images\" file with 207 images and a JSON file with corresponding annotations (polygons).","description_withheld":null,"homepage":"https://github.com/Elizbellou/Powerline-TIC-Dataset-and-Detection-Models.git","introduced_date":"2024-05-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/aerial-inspection-of-high-voltage-power-lines","title":"Aerial Inspection of High-Voltage Power Lines Using YOLOv8 Real-Time Object Detector","first_author":"Elisavet Bellou","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TIC Powerline Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}