Feature Detector Computer Vision Dataset

byHadid ExcavationsTask:
Object Detection
License:CC BY 4.0192 views7 downloads

About Feature Detector Dataset

Here are a few use cases for this project:

  1. Archaeological Site Exploration: Feature Detector could be utilized to identify various structures and artifacts at archaeological sites, helping researchers to better understand the history, culture, and layout of ancient civilizations.

  2. Land Management and Planning: Feature Detector could be employed by urban planners, land developers, and conservationists to analyze the composition of land parcels, identify any existing structures, and make informed decisions about land use, zoning, or preservation.

  3. Natural Disaster Assessment: In the aftermath of natural disasters such as earthquakes or landslides, Feature Detector could be used to quickly identify damaged structures or collapsed caves, allowing for the rapid deployment of rescue teams and resources to the affected areas.

  4. Agricultural Site Assessment: Feature Detector could help farmers and agronomists identify features like terrace walls, plot fences, or cisterns on their agricultural land, enabling them to optimize crop production, layout, and irrigation regimes.

  5. Cultural Heritage Conservation: Feature Detector could be employed by cultural heritage organizations to identify and monitor historical and culturally significant features like tombs, caves, and ancient constructions. This information could then be used to plan for conservation efforts or preservation projects.

Use Free Construction, Cave entrance and Cistern 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": "construction, cave entrance, cistern, cistern blocked, collapsed cave"
  },
  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{ feature-detector_dataset,
  title = { Feature Detector Dataset },
  type = { Open Source Dataset },
  author = { Hadid Excavations },
  howpublished = { \url{ https://universe.roboflow.com/hadid-excavations/feature-detector } },
  url = { https://universe.roboflow.com/hadid-excavations/feature-detector },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { may },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More