{"url":"/dataset/synrailobs","name":"synRailObs","full_name":null,"description_markdown":"The **synRailObs** contains following categories:\r\n- Person\r\n- Rocks\r\n- Vehicles\r\n- Moto-cars\r\n- Animals\r\n\r\nEach directory contain images and correspoing yolo-format annotations and masks, which can be leveraged in both object detection and segmentation tasks. Click to add a brief description of the dataset (Markdown and LaTeX enabled).\r\n\r\nProvide:\r\n\r\n* a high-level explanation of the dataset characteristics\r\n* explain motivations and summary of its content\r\n* potential use cases of the dataset","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/qiushi910/synrailobs","introduced_date":"2025-05-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/synrailobs-a-synthetic-dataset-for-obstacle","title":"SynRailObs: A Synthetic Dataset for Obstacle Detection in Railway Scenarios","first_author":"Qiushi Guo","url":null},"license":{"name":"Apache 2.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["synRailObs"],"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."}