{"url":"/dataset/gytis","name":"PS-Plant dataset","full_name":"PS-Plant dataset","description_markdown":"Automated leaf segmentation is a challenging area in computer vision. Recent advances in machine learning approaches allowed to achieve better results than traditional image processing techniques; however, training such systems often require large annotated data sets. To contribute with annotated data sets and help to overcome this bottleneck in plant phenotyping research, here we provide a novel photometric stereo (PS) data set with annotated leaf masks. This data set forms part of the work done in the BBSRC Tools and Resources Development project BB/N02334X/1.\r\n\r\nSource: [A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth](https://academic.oup.com/gigascience/article/8/5/giz056/5498634)\r\nImage Source: [PS-Plant training dataset description](https://datashare.ed.ac.uk/bitstream/handle/10283/3280/PS-Plant%20training%20data%20set%20description.pdf?sequence=3&isAllowed=y)","description_withheld":null,"homepage":"https://datashare.ed.ac.uk/handle/10283/3199","introduced_date":"2018-10-19","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PS-Plant dataset"],"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."}