Ver1 Computer Vision Model

byTrialTask:
Object Detection
License:CC BY 4.033 views4 downloads

How to use the Ver1 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="ver1/1")
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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": "No Findings, Pneumonia"
  },
  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 Ver1 Model

X-Ray Scans from NIH, scans used contains labels with only "Pneumonia" and "No-Findings". Set has are already been augmented using albumentations and will be manually annotated by whole image annotation 180 Original Images with Label Pneumonia 120 Original Images with Label No Findings

Cite This Project

LicenseCC BY 4.0

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

@misc{ ver1_dataset,
  title = { Ver1 Dataset },
  type = { Open Source Dataset },
  author = { Trial },
  howpublished = { \url{ https://universe.roboflow.com/trial-7g7ix/ver1 } },
  url = { https://universe.roboflow.com/trial-7g7ix/ver1 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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