Universe

map Computer Vision Model

byAokizyTask:
Object Detection
License:CC BY 4.0

How to use the map 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="map-dltqm/1")
Give your agent everything it needs

Or, Use Free Map, Mapb and Mapg 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": "map, mapb, mapg, mapr, wkb"
  },
  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 262 imagesmap map sample showing mapgmap map sample showing wkgmap map sample showing mapg, maprmap map sample showing wkg, wkrmap map sample showing wkgmap map sample showing maprmap map sample showing mapg, maprmap map sample showing wkrmap map sample showing maprmap map sample showing mapg, maprmap map sample showing wkrmap map sample showing wkb, wkg

About map 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{ map-dltqm_dataset,
  title = { map Dataset },
  type = { Open Source Dataset },
  author = { Aokizy },
  howpublished = { \url{ https://universe.roboflow.com/aokizy/map-dltqm } },
  url = { https://universe.roboflow.com/aokizy/map-dltqm },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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