Universe

Spine Region Computer Vision Model

byCADMATask:
Object Detection
License:CC BY 4.01.7k views76 downloads

How to use the Spine Region Detection API

Try This Model

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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="spine-region/4")
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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": "Spine"
  },
  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 1.1k imagesSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing SpineSpine Region Spine sample showing Spine

About Spine Region Model

Here are a few use cases for this project:

  1. Medical Diagnosis Assistance: The 'Spine Region' model could be used by healthcare professionals to assist in diagnosing spinal disorders or conditions like scoliosis, spinal disc herniation, or osteoporosis by automatically identifying and highlighting any abnormalities present in the spine region of x-ray images.

  2. Posture Check Applications: A posture check application can integrate the 'Spine Region' model to assess a person's posture and provide personalized recommendations to improve it, which could be beneficial in preventing or managing chronic back pain.

  3. Physiotherapy and Rehabilitation: Physiotherapists can use this model to track patient progress by comparing changes in the spinal region over time in patients undergoing rehabilitation for spinal injuries or conditions.

  4. Biomechanics Research: Researchers studying human locomotion and biomechanics could use this model to analyze different spine conditions, and how they affect a person's movement and balance.

  5. Personal Training & Sport Coaching: Personal trainers or coaches could use the AI model to help athletes gain insight into their spinal alignment and understand how it impacts their performance, as well as make alterations in training regimens to minimize the risk of injury.

Cite This Project

LicenseCC BY 4.0

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

@misc{ spine-region_dataset,
  title = { Spine Region Dataset },
  type = { Open Source Dataset },
  author = { CADMA },
  howpublished = { \url{ https://universe.roboflow.com/cadma/spine-region } },
  url = { https://universe.roboflow.com/cadma/spine-region },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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