Universe

Spit Bridge Cones Computer Vision Model

byYolov7Task:
Object Detection
License:CC BY 4.041 views1 download

How to use the Spit Bridge Cones 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="spit-bridge-cones/4")
Give your agent everything it needs

Or, Use Free \, Orange_cone and Yellow_marker 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": "\, orange_cone, yellow_marker"
  },
  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 2.2k imagesSpit Bridge Cones cones sample showing orange_cone, yellow_markerSpit Bridge Cones cones sampleSpit Bridge Cones cones sample showing orange_coneSpit Bridge Cones cones sample showing orange_cone, yellow_markerSpit Bridge Cones cones sample showing orange_cone, yellow_markerSpit Bridge Cones cones sample showing yellow_markerSpit Bridge Cones cones sample showing yellow_markerSpit Bridge Cones cones sample showing yellow_markerSpit Bridge Cones cones sample showing orange_coneSpit Bridge Cones cones sample showing orange_cone, yellow_markerSpit Bridge Cones cones sample showing yellow_markerSpit Bridge Cones cones sample showing orange_cone

About Spit Bridge Cones Model

Here are a few use cases for this project:

  1. Traffic Management Systems: The "Spit Bridge Cones" model can be used to detect cones and markers on roads or construction sites, providing real-time data for improving traffic flow and maintaining safety standards.

  2. Drone Navigation: Drones could use this model to identify marked cones on terrain during aerial mapping or surveying, making flight navigation more accurate and reliable.

  3. Autonomous Vehicles: This model can be employed by autonomous driving solutions to recognize and react to cones and markers on the road, improving their ability to navigate safely.

  4. Road Maintenance Detection: Authorities and road management teams can use the model to identify cones that mark road hazards or maintenance work, providing important information for planning road repair operations.

  5. AR Games Development: Developers of augmented reality driving- or navigation-based games could use the "Spit Bridge Cones" model to map real-world cone locations into the game environment for enhanced realism.

Cite This Project

LicenseCC BY 4.0

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

@misc{ spit-bridge-cones_dataset,
  title = { Spit Bridge Cones Dataset },
  type = { Open Source Dataset },
  author = { Yolov7 },
  howpublished = { \url{ https://universe.roboflow.com/yolov7-1cb06/spit-bridge-cones } },
  url = { https://universe.roboflow.com/yolov7-1cb06/spit-bridge-cones },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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