---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
- image-to-image
tags:
- medical
- Chest X-Ray
- Medicine
- Computer Vision
- Segmentation
- Classification
- Machine Learning
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-*
size_categories:
- n<1K
---
# 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.

# The dataset is created on the basis of [Chest X-Ray Dataset](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=chest-x-rays)

### 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*

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F77c2579c7da066f8b1200987b735aefe%2FFrame%2034.png?generation=1697565412404556&alt=media)

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.

# 💴 For Commercial Usage: Full version of the dataset includes 400+ chest x-rays of people with different conditions, leave a request on **[our website](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=chest-x-rays)** to 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.

**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/chest-x-ray-image-dicom/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=chest-x-rays)**

*keywords: lungs, heart, blood vessels, airways, ribs, lymph nodes, upper abdomen, cough, breath, structures, radiograph, scan, chest pain, fever, chest symptoms, chest dataset, chest X-rays dataset, scoliosis detection dataset, scoliosis segmentation dataset, scoliosis image dataset, medical imaging, radiology dataset, spine deformity dataset, orthopedic abnormalities, scoliotic curve dataset, degenerative spinal conditions, diagnostic imaging, medical imaging, radiology dataset, image dataset, abnormalities detection, chest anatomy, health, formations, imaging procedure, x-rays measurements, machine learning, computer vision, deep learning*