Universe

museum Computer Vision Dataset

bykubotalabTask:
Object Detection
License:CC BY 4.0562 views14 downloads
See all 823 imagesmuseum museum sample showing bookmuseum museum samplemuseum museum sample showing humanmuseum museum sample showing chair, humanmuseum museum sample showing cup, humanmuseum museum sample showing bookmuseum museum sample showing book, humanmuseum museum sample showing TV, plantmuseum museum sample showing humanmuseum museum sample showing book, humanmuseum museum sample showing human, papermuseum museum sample

About museum Dataset

Here are a few use cases for this project:

  1. Virtual Museum Tours: The "museum" model can be used in creating interactive, virtual tours of museums. It can identify different items in the museum space, provide detailed information about them, and even answer visitors' inquiries about specific artifacts or paintings.

  2. Artifact Categorization: Museums can utilize this model to help categorize various objects and artifacts. It can streamline the task of sorting and identifying objects, hence simplifying the task of archivists and curators.

  3. Inventory Management: The model could be used for inventory management in a museum setting. By identifying objects, their locations, and their states, it can facilitate the tracking, preserving, and safeguarding of a museum's collections.

  4. Augmenting Museum Experience: It could be applied in AR (Augmented Reality) apps to recognize objects and provide visitors with additional information such as historical details, explanations, or related multimedia files, thereby enhancing the museum-going experience.

  5. Museum Security: By identifying objects and individuals, the "museum" model could be used to enhance security within the museum. It could be used to ensure that no artifacts are tampered with or removed, and help identify any suspicious activities.

Use Free Car, Dog and Bottle 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": "car, dog, bottle, ball, chair"
  },
  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{ museum-c72bo_dataset,
  title = { museum Dataset },
  type = { Open Source Dataset },
  author = { kubotalab },
  howpublished = { \url{ https://universe.roboflow.com/kubotalab/museum-c72bo } },
  url = { https://universe.roboflow.com/kubotalab/museum-c72bo },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

Similar Projects

See More