{"url":"/dataset/synthia-al","name":"SYNTHIA-AL","full_name":null,"description_markdown":"Specially designed to evaluate active learning for video object detection in road scenes. \r\n\r\nSource: [Temporal Coherence for Active Learning in Videos](/paper/temporal-coherence-for-active-learning-in)","description_withheld":null,"homepage":"http://synthia-dataset.net/downloads/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/temporal-coherence-for-active-learning-in","title":"Temporal Coherence for Active Learning in Videos","first_author":"Javad Zolfaghari Bengar","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Video Object Detection","url":"/task/video-object-detection","datasets_with_task":"/datasets/task/video-object-detection"},{"name":"Active Learning","url":"/task/active-learning","datasets_with_task":"/datasets/task/active-learning"}],"languages":[],"variants":["SYNTHIA-AL"],"data_loaders":[],"num_papers_in_archive":5,"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."}