Universe

Auto park Computer Vision Model

by5A502Task:
Object Detection
License:Public Domain208 views7 downloads

How to use the Auto park 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="auto-park/2")
Give your agent everything it needs

Or, Use Free \, Disabled-spot and Parking-spot 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": "\, Disabled-spot, Parking-spot"
  },
  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 349 imagesAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spot, Parking-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spot, Parking-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spotAuto park Parking-spot sample showing Disabled-spot, Parking-spotAuto park Parking-spot sample showing Disabled-spot, Parking-spot

About Auto park Model

Here are a few use cases for this project:

  1. "Accessible Parking Navigation": By integrating the "Auto park" model into a mobile app or car navigation system, users can locate the nearest available parking spaces, including disabled spots. This might be especially useful for individuals with disabilities who need real-time information about accessible parking availability.

  2. "Parking Space Management": With the "Auto park" model, parking space managers can monitor the occupancy of all different types of parking spaces in their area, including the specialized ones like Disabled-spots. This aids in optimizing parking space usage and can be used for generating occupancy statistics.

  3. "Smart City Development": Governments and urban planners could use this model to improve transportation infrastructure by planning parking spaces based on actual demand observed by the model.

  4. "Real-Time Parking Violation Detection": Traffic police or parking enforcement officials can use the "Auto park" model for automated surveillance systems. It can help to detect parking violations, especially in case of misuse of disabled parking spots, resulting in more efficient enforcement of parking rules.

  5. "Automated Parking Systems": The "Auto park" model could be integrated into automated parking solutions for vehicles. This can provide direction for parking, ensuring that cars are parked in the right spot including suitable allocation for disabled drivers.

Cite This Project

LicensePublic Domain

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

@misc{ auto-park_dataset,
  title = { Auto park Dataset },
  type = { Open Source Dataset },
  author = { 5A502 },
  howpublished = { \url{ https://universe.roboflow.com/5a502/auto-park } },
  url = { https://universe.roboflow.com/5a502/auto-park },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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