{"url":"/dataset/synoclip","name":"SynoClip","full_name":null,"description_markdown":"## SynoClip Dataset\r\nThe **SynoClip** dataset is a comprehensive and standard dataset specifically designed for the video synopsis task. It consists of six videos, ranging from 8 to 45 minutes, captured from outdoor-mounted surveillance cameras. This dataset is annotated with tracking information, making it an ideal resource not only for video synopsis but also for related tasks such as object detection in videos and multi-object tracking.\r\n\r\n### Key Features:\r\n- **Outdoor Surveillance Footage**: Captured from outdoor-mounted cameras, the dataset reflects real-world surveillance conditions.\r\n- **Tracking Annotations**: Each video comes with detailed tracking annotations, enabling a fair comparison of video synopsis models' performance.\r\n- **Multi-Purpose Utility**: While primarily intended for video synopsis, the dataset can also be used for training and evaluating object detection and tracking models in videos.\r\n\r\n### Download the Dataset\r\nYou can download the SynoClip dataset from the following Google Drive link:\r\n\r\n[Download SynoClip Dataset](https://drive.google.com/drive/folders/14rqDbwsedevmk6n_ZCFfRzw-ofq-wGi0?usp=drive_link)","description_withheld":null,"homepage":"https://github.com/Ramtin-ma/VideoSynopsis-FGS","introduced_date":"2024-09-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-low-computational-video-synopsis-framework","title":"A Low-Computational Video Synopsis Framework with a Standard Dataset","first_author":"Ramtin Malekpour","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Pedestrian Detection","url":"/task/pedestrian-detection","datasets_with_task":"/datasets/task/pedestrian-detection"},{"name":"Video Synopsis","url":"/task/video-synopsis","datasets_with_task":"/datasets/task/video-synopsis"}],"languages":[],"variants":["SynoClip"],"data_loaders":[{"repo":"https://github.com/ramtin-ma/videosynopsis-fgs","url":"https://github.com/ramtin-ma/videosynopsis-fgs","frameworks":["pytorch"]}],"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."}