Universe

Warning triangle Computer Vision Dataset

byPhantom AITask:
Instance Segmentation
License:CC BY 4.0644 views32 downloads
See all 926 imagesWarning triangle Objects sampleWarning triangle Objects sampleWarning triangle Objects sample showing polygon, polygon-holeWarning triangle Objects sampleWarning triangle Objects sample showing polygonWarning triangle Objects sampleWarning triangle Objects sample showing polygon, polygon-holeWarning triangle Objects sampleWarning triangle Objects sample showing polygon, polygon-holeWarning triangle Objects sample showing polygon, polygon-holeWarning triangle Objects sample showing polygonWarning triangle Objects sample

About Warning triangle Dataset

Here are a few use cases for this project:

  1. Advanced Driver Assistance Systems: The "Warning Triangle" computer vision model can be used in car safety technology to detect warning signs, roads, and obstacles. For instance, the model can identify polygons as potential hazards like other vehicles, barricades, etc., and polygon-holes as open paths for safe navigation.

  2. Autonomous Drone Navigation: The model can be applied to help drones identify obstacles in their flight paths like trees, buildings, or power lines (represented as polygons) and specify safe flying routes (polygon-holes).

  3. Urban Planning and Construction: The model can be used to analyze satellite or aerial imagery for identifying areas suitable for development or mapping existing structures. Polygons could represent buildings or other constructible spaces, while polygon-holes might indicate open areas or parks.

  4. Robotics: In a robotics context, this model could help robots understand their environment better, enabling them to navigate through complex terrains by distinguishing between obstacles (polygons) and open paths (polygon-holes).

  5. Video Game Development: Game developers could use this model to build more realistic environments by effectively identifying and differentiating game environment elements like structures, objects, or safe pathways.

Use Free Polygon and Polygon-hole 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": "polygon, polygon-hole"
  },
  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 

Cite This Project

LicenseCC BY 4.0

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

@misc{ warning-triangle_dataset,
  title = { Warning triangle Dataset },
  type = { Open Source Dataset },
  author = { Phantom AI },
  howpublished = { \url{ https://universe.roboflow.com/phantom-ai/warning-triangle } },
  url = { https://universe.roboflow.com/phantom-ai/warning-triangle },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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