Universe

Landing-platform Computer Vision Dataset

byDroneTask:
Object Detection
License:CC BY 4.0665 views32 downloads
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About Landing-platform Dataset

Here are a few use cases for this project:

  1. Drone Navigation and Landing: The "Landing-platform" model can be used to assist drones in identifying suitable landing platforms or zones, ensuring safe and accurate landings.

  2. Space Exploration: The model can be applied in space exploration technologies to identify landing spots for spacecraft on the moon, Mars, or other planets. This is crucial for safe landing and minimizes potential damages or accidents.

  3. Search and Rescue Missions: The model could be used in search and rescue missions to identify potential landing spots for helicopters or UAVs, particularly in rough terrain or disaster-struck areas.

  4. Shipping Industry: In the shipping industry, the model can facilitate detection of landing platforms for seaplanes or helicopters on ships, thus enhancing safety measures.

  5. Construction Site Analysis: The model can be valuable in construction projects for identifying and evaluating potential landing or staging areas for heavy machinery, including cranes or helicopters.

Use Free Landing platform 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": "landing platform"
  },
  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{ landing-platform_dataset,
  title = { Landing-platform Dataset },
  type = { Open Source Dataset },
  author = { Drone },
  howpublished = { \url{ https://universe.roboflow.com/drone-7p03t/landing-platform } },
  url = { https://universe.roboflow.com/drone-7p03t/landing-platform },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { jan },
  note = { visited on 2026-07-29 },
}

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