Universe

DataMed Computer Vision Model

byDataMedTask:
Object Detection
License:Public Domain

How to use the DataMed Detection API

Try This Model

Drop an image here or click to upload

Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="datamed-6oe4k/2")
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Or, Use Free Atelectasis and Effusion Detection API

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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": "Atelectasis, Effusion"
  },
  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 
See all 313 imagesDataMed objects sample showing EffusionDataMed objects sample showing EffusionDataMed objects sample showing EffusionDataMed objects sample showing Atelectasis, EffusionDataMed objects sample showing AtelectasisDataMed objects sample showing AtelectasisDataMed objects sample showing EffusionDataMed objects sample showing AtelectasisDataMed objects sample showing AtelectasisDataMed objects sample showing EffusionDataMed objects sample showing AtelectasisDataMed objects sample showing Effusion

About DataMed Model

Imagens de raio-x com 8 classes anotadas:

Atelectasis Cardiomegaly Effusion Infiltrate Mass Nodule Pneumonia Pneumothorax

Cite This Project

LicensePublic Domain

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

@misc{ datamed-6oe4k_dataset,
  title = { DataMed Dataset },
  type = { Open Source Dataset },
  author = { DataMed },
  howpublished = { \url{ https://universe.roboflow.com/datamed/datamed-6oe4k } },
  url = { https://universe.roboflow.com/datamed/datamed-6oe4k },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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