{"url":"/dataset/a-dataset-of-multispectral-potato-plants","name":"A Dataset of Multispectral Potato Plants Images","full_name":null,"description_markdown":"The dataset contains aerial agricultural images of a potato field with manual labels of healthy and stressed plant regions. The images were collected with a Parrot Sequoia multispectral camera carried by a 3DR Solo drone flying at an altitude of 3 meters. The dataset consists of RGB images with a resolution of 750×750 pixels, and spectral monochrome red, green, red-edge, and near-infrared images with a resolution of 416×416 pixels, and XML files with annotated bounding boxes of healthy and stressed potato crop.","description_withheld":null,"homepage":"https://www.webpages.uidaho.edu/vakanski/codes_data.html","introduced_date":"2021-06-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/potato-crop-stress-identification-in-aerial","title":"Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection","first_author":"Sujata Butte","url":null},"license":{"name":"Open Data Commons Public Domain Dedication and License (PDDL) v1.0","url":"https://opendatacommons.org/%20licenses/pddl/1.0"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["A Dataset of Multispectral Potato Plants Images"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-detection-on-a-dataset-of","task":"Object Detection","dataset_variant":"A Dataset of Multispectral Potato Plants Images","rows":1,"metrics":["Average IOU","Dice Score"],"first_row_in_archive_order":{"model":"Retina-UNet-Ag","paper":"/paper/potato-crop-stress-identification-in-aerial","metrics":{"Average IOU":"0.589","Dice Score":"0.74"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/potato-crop-stress-identification-in-aerial","title":"Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection","date":"2021-06-14","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}