Universe

Kidney Stone vs Normal Computer Vision Dataset

byRoy Kimochi WorksTask:
Classification
License:CC BY 4.0
See all 3.2k imagesKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing stoneKidney Stone vs Normal stone sample showing stoneKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing stoneKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing stoneKidney Stone vs Normal stone sample showing normalKidney Stone vs Normal stone sample showing normal

About Kidney Stone vs Normal Dataset

This dataset introduces a comprehensive CT scan image dataset focused on kidney stone detection, consisting of two groups: one from individuals diagnosed with kidney stones and the other from those without the condition. The dataset has been meticulously curated, verified, and labeled by experienced medical professionals, ensuring its high quality and reliability for both research and educational applications. Collected from medical centers in Sulaimani and Rania, Kurdistan Region, Iraq, the dataset provides unique insights into the prevalence and characteristics of kidney stones in this region.

Original source: https://data.mendeley.com/datasets/fwhytt5mzd/2

Use Free Stone and Normal Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "stone, normal"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ kidney-stone-vs-normal_dataset,
  title = { Kidney Stone vs Normal Dataset },
  type = { Open Source Dataset },
  author = { Roy Kimochi Works },
  howpublished = { \url{ https://universe.roboflow.com/roy-kimochi-works/kidney-stone-vs-normal } },
  url = { https://universe.roboflow.com/roy-kimochi-works/kidney-stone-vs-normal },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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