Universe

mp Computer Vision Model

bymajor projectTask:
Object Detection
License:CC BY 4.0

How to use the mp 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="mp-x21ss/8")
Give your agent everything it needs

Or, Use Free Covered and not overloaded, Covered and overloaded and Not covered and overloaded 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": "covered and not overloaded, covered and overloaded, not covered and overloaded, uncovered and not overloaded"
  },
  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 543 imagesmp trucks-vehicles-e9kf sample showing not covered and overloadedmp trucks-vehicles-e9kf sample showing not covered and overloadedmp trucks-vehicles-e9kf sample showing covered and not overloadedmp trucks-vehicles-e9kf sample showing covered and not overloadedmp trucks-vehicles-e9kf sample showing covered and not overloaded, uncovered and not overloadedmp trucks-vehicles-e9kf sample showing covered and not overloadedmp trucks-vehicles-e9kf sample showing covered and overloadedmp trucks-vehicles-e9kf sample showing not covered and overloadedmp trucks-vehicles-e9kf sample showing uncovered and not overloadedmp trucks-vehicles-e9kf sample showing covered and not overloadedmp trucks-vehicles-e9kf sample showing uncovered and not overloadedmp trucks-vehicles-e9kf sample showing not covered and overloaded

About mp 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{ mp-x21ss_dataset,
  title = { mp Dataset },
  type = { Open Source Dataset },
  author = { major project },
  howpublished = { \url{ https://universe.roboflow.com/major-project-whq6q/mp-x21ss } },
  url = { https://universe.roboflow.com/major-project-whq6q/mp-x21ss },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More