yuhan Computer Vision Dataset

by[email protected]Task:
Object Detection
License:CC BY 4.015 views1 download

About yuhan Dataset

Here are a few use cases for this project:

  1. Brand Identity Verification: The "yuhan" computer vision model can help verify brand logos or trademarks in different platforms and mediums. For example: automatic recognition and tracking of brand logos in social media images or videos to measure brand visibility and recognition.

  2. Advertising Analysis: By identifying "hello" text and logos, the model can analyze the effectiveness and reach of particular advertising campaigns. It can track where and how frequently specific logos or messages appear across various media channels.

  3. Text and Logo Recognition in Augmented Reality (AR): "yuhan" can find applications in AR by recognizing and interacting with real-world logos and text. It could be used to overlay AR experiences or information when a certain logo or the "hello" message is detected.

  4. Piracy and Counterfeit Detection: By identifying specific textual and logo aspects of products, "yuhan" can help in distinguishing fake or counterfeit items from original ones. It can help businesses protect their brand and customers by quickly identifying fraudulent products.

  5. Accessibility Improvements: By recognizing text and logos, this model could be used to create more accessible digital content for people with vision impairments. Descriptions of visuals such as logos and "hello" text could be read out loud, enhancing their experience and understanding of the content.

Use Free Text and Logo 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": "text, logo"
  },
  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{ yuhan_dataset,
  title = { yuhan Dataset },
  type = { Open Source Dataset },
  author = { [email protected] },
  howpublished = { \url{ https://universe.roboflow.com/570982562-qq-com/yuhan } },
  url = { https://universe.roboflow.com/570982562-qq-com/yuhan },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2021 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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