chest-x-rays / README.md
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metadata
language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
  - image-to-image
tags:
  - medical
  - code
  - biology
dataset_info:
  features:
    - name: image
      dtype: image
    - name: type
      dtype: string
  splits:
    - name: train
      num_bytes: 325782340
      num_examples: 97
  download_size: 313593688
  dataset_size: 325782340
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Chest X-ray - Object Detection dataset

The dataset consists of a collection of chest X-ray images in .jpg and .dcm formats. The images are organized into folders based on different medical conditions related to the chest. Each folder contains images depicting specific chest abnormalities.

💴 For Commercial Usage: Full version of the dataset includes much more chest x-rays of people with different conditions, leave a request on TrainingData to buy the dataset

Types of diseases and conditions in the dataset:

Abscess, Ards, Atelectasis, Atherosclerosis of the aorta, Cardiomegaly, Emphysema, Fracture, Hydropneumothorax, Hydrothorax, Pneumonia, Pneumosclerosis, Post inflammatory changes, Post traumatic ribs deformation, Sarcoidosis, Scoliosis, Tuberculosis and Venous congestion

The dataset is valuable for research in neurology, radiology, and oncology. It allows the development and evaluation of computer-based algorithms, machine learning models, and deep learning techniques for automated detection, diagnosis, and classification of these conditions.

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

Content

The folder "files" includes 17 folders:

  • corresponding to name of the disease/condition and including x-rays of people with this disease/condition (abscess, ards, atelectasis etc.)
  • including x-rays in 2 different formats: .jpg and .dcm.

File with the extension .csv includes the following information for each media file:

  • dcm: link to access the .dcm file,
  • jpg: link to access the .jpg file,
  • type: name of the disease or condition on the x-ray

Medical data might be collected in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/trainingdata-pro

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