Universe

vedio Computer Vision Dataset

byMunch drawingsTask:
Object Detection
License:CC BY 4.0

How to use the vedio 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="munch-drawings/vedio-wfoug-instant-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": "car, dog, face, boat, tree"
  },
  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 559 imagesvedio objects sample showing cloud, house, people, treevedio objects sample showing house, people, treevedio objects sample showing cloud, house, people, treevedio objects sample showing house, peoplevedio objects sample showing cloud, house, people, treevedio objects sample showing cloud, house, people, treevedio objects sample showing cloud, housevedio objects sample showing cloud, house, people, treevedio objects sample showing treevedio objects sample showing boat, cloud, house, treevedio objects sample showing cloud, house, people, treevedio objects sample showing cloud, house, people

About vedio 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{ vedio-wfoug_dataset,
  title = { vedio Dataset },
  type = { Open Source Dataset },
  author = { Munch drawings },
  howpublished = { \url{ https://universe.roboflow.com/munch-drawings/vedio-wfoug } },
  url = { https://universe.roboflow.com/munch-drawings/vedio-wfoug },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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