med_label_detection Computer Vision Dataset

byPeopleCounterDemoTask:
Object Detection
License:CC BY 4.0

How to use the med_label_detection 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="peoplecounterdemo/med_label_detection-instant-2")
Give your agent everything it needs

Or, Use Free 04e64f63-b08f-48df-989f-1dea303d8bd6, 065434ef-60d3-40f9-8eda-75c8a756ee1a and 08c39974-54ea-418d-9711-ab304b44adbf 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": "04e64f63-b08f-48df-989f-1dea303d8bd6, 065434ef-60d3-40f9-8eda-75c8a756ee1a, 08c39974-54ea-418d-9711-ab304b44adbf, 0950ea87-fb61-4aea-84a1-4da61fa1fc78, 09fe3d38-6ea7-495e-967b-4730ea8359f5"
  },
  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 

About med_label_detection Model

A description for this project has not been published yet.

Cite This Project

LicenseCC BY 4.0

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

@misc{ med_label_detection_dataset,
  title = { med_label_detection Dataset },
  type = { Open Source Dataset },
  author = { PeopleCounterDemo },
  howpublished = { \url{ https://universe.roboflow.com/peoplecounterdemo/med_label_detection } },
  url = { https://universe.roboflow.com/peoplecounterdemo/med_label_detection },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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