{"url":"/dataset/grazpedwri-dx","name":"GRAZPEDWRI-DX","full_name":null,"description_markdown":"GRAZPEDWRI-DX is a public dataset of 20,327 pediatric wrist trauma X-ray images released by the University of Medicine of Graz. These X-ray images were collected by multiple pediatric radiologists at the Department for Pediatric Surgery of the University Hospital Graz between 2008 and 2018, involving 6,091 patients and a total of 10,643 studies. This dataset is annotated with 74,459 image labels, featuring a total of 67,771 labeled objects.","description_withheld":null,"homepage":"https://www.nature.com/articles/s41597-022-01328-z#citeas","introduced_date":"2023-11-16","introduced_date_note":null,"introduced_by":null,"license":{"name":"https://creativecommons.org/licenses/by/4.0/","url":"https://www.nature.com/articles/s41597-022-01328-z#Sec13"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Medical Object Detection","url":"/task/medical-object-detection","datasets_with_task":"/datasets/task/medical-object-detection"},{"name":"medical image detection","url":"/task/medical-image-detection","datasets_with_task":"/datasets/task/medical-image-detection"},{"name":"Fracture detection","url":"/task/fracture-detection","datasets_with_task":"/datasets/task/fracture-detection"}],"languages":[],"variants":["GRAZPEDWRI-DX"],"data_loaders":[{"repo":"https://github.com/ruiyangju/bone_fracture_detection_yolov8","url":"https://ruiyangju.github.io/GRAZPEDWRI-DX_JU/","frameworks":[]}],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fracture-detection-on-grazpedwri-dx","task":"Fracture detection","dataset_variant":"GRAZPEDWRI-DX","rows":19,"metrics":["AP50","F1-score","Fracture Sensitivity"],"first_row_in_archive_order":{"model":"YOLOv8+SE","paper":"/paper/fce-yolov8-yolov8-with-feature-context","metrics":{"AP50":"67.07","F1-score":"0.66"},"code_links":[{"title":"ruiyangju/fce-yolov8","url":"https://github.com/ruiyangju/fce-yolov8"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-grazpedwri-dx","task":"Object Detection","dataset_variant":"GRAZPEDWRI-DX","rows":6,"metrics":["mAP"],"first_row_in_archive_order":{"model":"YOLOv8x","paper":"/paper/enhancing-wrist-abnormality-detection-with","metrics":{"mAP":"77.00"},"code_links":[{"title":"ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation","url":"https://github.com/ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-image-detection-on-grazpedwri-dx","task":"medical image detection","dataset_variant":"GRAZPEDWRI-DX","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"YOLOv8x","paper":"/paper/enhancing-wrist-abnormality-detection-with","metrics":{"mAP":"77.00"},"code_links":[{"title":"ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation","url":"https://github.com/ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-object-detection-on-grazpedwri-dx","task":"Medical Object Detection","dataset_variant":"GRAZPEDWRI-DX","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"YOLOv8x","paper":"/paper/enhancing-wrist-abnormality-detection-with","metrics":{"mAP":"77.00"},"code_links":[{"title":"ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation","url":"https://github.com/ammarlodhi255/pediatric_wrist_abnormality_detection-end-to-end-implementation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/fce-yolov8-yolov8-with-feature-context","title":"Pediatric Wrist Fracture Detection Using Feature Context Excitation Modules in X-ray Images","date":"2024-10-01","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/yolov8-rescbam-yolov8-based-on-an-effective","title":"YOLOv8-ResCBAM: YOLOv8 Based on An Effective Attention Module for Pediatric Wrist Fracture Detection","date":"2024-09-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/yolov10-for-automated-fracture-detection-in","title":"Pediatric Wrist Fracture Detection in X-rays via YOLOv10 Algorithm and Dual Label Assignment System","date":"2024-07-22","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/enhancing-wrist-abnormality-detection-with","title":"Enhancing Wrist Fracture Detection with YOLO","date":"2024-07-17","rows_on_this_dataset":8,"code_links":1,"syntology":null},{"paper":"/paper/global-context-modeling-in-yolov8-for","title":"Global Context Modeling in YOLOv8 for Pediatric Wrist Fracture Detection","date":"2024-07-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/yolov9-for-fracture-detection-in-pediatric","title":"YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images","date":"2024-03-17","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/yolov8-am-yolov8-with-attention-mechanisms","title":"YOLOv8-AM: YOLOv8 Based on Effective Attention Mechanisms for Pediatric Wrist Fracture Detection","date":"2024-02-14","rows_on_this_dataset":5,"code_links":1,"syntology":null},{"paper":"/paper/deeploc-deep-learning-based-bone-pathology","title":"DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images","date":"2023-08-24","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/fracture-detection-in-pediatric-wrist-trauma","title":"Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm","date":"2023-04-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/0-1-deep-neural-networks-via-block-coordinate","title":"0/1 Deep Neural Networks via Block Coordinate Descent","date":"2022-06-19","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"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."}