Dae-Star2 Computer Vision Dataset

bynew-workspace-30ek0Task:
Object Detection
License:BY-NC-SA 4.064 views3 downloads

About Dae-Star2 Dataset

Here are a few use cases for this project:

  1. Content Moderation: The Dae-Star2 model could be used in social media, e-commerce, or other online platforms to moderate user-uploaded images, ensuring that they do not contain any prohibited items such as pets, knives, tools, or lighters.

  2. Customs and Border Protection: This model could be used in imaging technology at airports or border crossings to automatically flag baggage or cargo images containing potential prohibited items, increasing efficiency and security measures.

  3. Safety Enforcements in Public Spaces: The model could be integrated with surveillance systems in public spaces, such as parks, schools, or shopping malls, to detect prohibited items and alert authorities for necessary action.

  4. Quality Control in Manufacturing: Companies involved in manufacturing could use this model to monitor their assembly lines, identifying any misplaced tools or prohibited items that might compromise the safety or quality of the product.

  5. Children's Online Safety: The model could be employed by children's apps or websites to pre-moderate image uploads and ensure that no inappropriate or potentially harmful objects appear in any user-generated content.

Use Free Pet, Knife and Lighter 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": "pet, knife, lighter, tool"
  },
  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

LicenseBY-NC-SA 4.0

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

@misc{ dae-star2_dataset,
  title = { Dae-Star2 Dataset },
  type = { Open Source Dataset },
  author = { new-workspace-30ek0 },
  howpublished = { \url{ https://universe.roboflow.com/new-workspace-30ek0/dae-star2 } },
  url = { https://universe.roboflow.com/new-workspace-30ek0/dae-star2 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2021 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

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