Universe

hand xray Computer Vision Dataset

byHFTask:
Object Detection
License:CC BY 4.03.81k views97 downloads
See all 1.2k imageshand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulnahand xray Metacarpus-Sanders-Radius-Ulna sample showing M2, M3, M4, Metacarpus, Radius, Sanders, Ulna

About hand xray Dataset

Here are a few use cases for this project:

  1. Medical Diagnostic Aid: Radiologists and physicians could leverage this model to quickly and accurately identify different parts of the hand on an x-ray, speeding diagnostic times for patients with hand, wrist, or lower arm conditions such as fractures, tumors, or infections.

  2. Education and Training: The hand xray model could be used in medical schools and radiography programs as a learning tool for students who need to identify and understand different bones and features in hand x-rays.

  3. Telemedicine Services: This model could serve as an essential component in telemedicine, where healthcare professionals could remotely diagnose hand conditions by uploading the x-ray images into the system, alleviating patients' need to travel.

  4. Automated Screening Systems: It could be utilized for triage in emergency departments or urgent care clinics to prioritize patients, by detecting severe conditions such as fractures from x-ray images automatically.

  5. Research Purposes: Scientists studying diseases affecting the bones in hand, like osteoporosis or arthritis, could use this model to automate the identification of Metacarpus-Sanders-Radius-Ulna classes in large x-ray datasets.

Use Free M2, M3 and M4 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": "M2, M3, M4, Metacarpus, Radius"
  },
  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{ hand-xray_dataset,
  title = { hand xray Dataset },
  type = { Open Source Dataset },
  author = { HF },
  howpublished = { \url{ https://universe.roboflow.com/hf-w1rwi/hand-xray } },
  url = { https://universe.roboflow.com/hf-w1rwi/hand-xray },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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