{"url":"/dataset/retinal-microsurgery","name":"Retinal Microsurgery","full_name":"Retinal Microsurgery","description_markdown":"The **Retinal Microsurgery** dataset is a dataset for surgical instrument tracking. It consists of 18 in-vivo sequences, each with 200 frames of resolution 1920 × 1080 pixels. The dataset is further classified into four instrument-dependent subsets. The annotated tool joints are n=3 and semantic classes c=2 (tool and background).\n\nSource: [Concurrent Segmentation and Localization for Tracking of Surgical Instruments](https://arxiv.org/abs/1703.10701)\nImage Source: [https://sites.google.com/site/sznitr/research/retinalmicrosurgery](https://sites.google.com/site/sznitr/research/retinalmicrosurgery)","description_withheld":null,"homepage":"https://sites.google.com/site/sznitr/code-and-datasets/rmd_form","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Real-time localization of articulated surgical instruments in retinal microsurgery","first_author":null,"url":"https://doi.org/10.1016/j.media.2016.05.003"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Motion Estimation","url":"/task/motion-estimation","datasets_with_task":"/datasets/task/motion-estimation"}],"languages":[],"variants":["Retinal Microsurgery"],"data_loaders":[],"num_papers_in_archive":2,"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."}