CoolFace
20 results

x-ray

alkzar90 /NIH-Chest-X-ray-datasetThe NIH Chest X-ray dataset consists of 100,000 de-identified images of chest x-rays. The images are in PNG format. The data is provided by the NIH Clinical Center and is available through the NIH download site: https://nihcc.app.box.com/v/ChestXray-NIHCCimage-classification100K<n<1M62 likes10k downloads2y agoHugging FaceBahaaEldin0 /NIH-Chest-Xray-14image100K<n<1M15 likes3.4k downloads2y agoHugging FaceLayered-Labs /clearwrist-pediatric-wrist-xrayClearWrist: Pediatric Wrist Fracture X-Ray Dataset 20,327 labeled pediatric wrist radiographs, rebuilt from GRAZPEDWRI-DX with clean patient-level splits, verified fracture ground truth, and YOLO-style bounding box annotations. &nbsp; &nbsp; Overview This dataset packages the full GRAZPEDWRI-DX corpus, 20,327 pediatric wrist radiographs from 6,091 patients treated at the Department for Pediatric Surgery of the University Hospital Graz between… See the full description on the dataset page: https://huggingface.co/datasets/Layered-Labs/clearwrist-pediatric-wrist-xray.imageimage-classification10K<n<100K1 likes2.4k downloads25d agoHugging Faceiraqigold /nih-chest-xray-14-flatimage100K<n<1M0 likes1.9k downloads3mo agoHugging Facehf-vision /chest-xray-pneumoniaDataset Summary The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal). Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care. For… See the full description on the dataset page: https://huggingface.co/datasets/hf-vision/chest-xray-pneumonia.image1K<n<10K10 likes1.5k downloads3y agoHugging Faceyeigen /nih-chest-xray NIH ChestX-ray14 — WebDataset Dataset original: nih-chest-xrays/data Imágenes: 112,120 PNGs en escala de grises (1024×1024) Formato: WebDataset (TAR archives, ~1000 imágenes por TAR) Split: train Cómo cargar from datasets import load_dataset ds = load_dataset("webdataset", data_dir="yeigen/nih-chest-xray", split="train", streaming=True) for sample in ds: img = sample["png"] # PIL Image print(img.size) break image-classification0 likes1.4k downloads6mo agoHugging Face