Universe

newYOLO4 Computer Vision Model

byMaskimTask:
Object Detection
License:CC BY 4.095 views3 downloads
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About newYOLO4 Model

Here are a few use cases for this project:

  1. License Plate Recognition: The newYOLO4 model can be utilized to detect and read license plates from vehicles, enabling identification of car owners or assisting law enforcement in locating stolen vehicles.

  2. Optical Character Recognition (OCR): The model can be employed to extract and recognize text from scanned documents, printed books, and handwritten notes, automating the process of data entry and digitization.

  3. Assistive Technology for Visually Impaired: The computer vision model can be integrated into assistive devices or mobile applications that help visually impaired individuals by reading and identifying text in their surroundings, e.g., signages, menus, or labels.

  4. Image-based Search Engine: The newYOLO4 can be used to build an image search engine that indexes images based on their text content, enabling users to search for specific keywords or phrases found within the image.

  5. Robotics and Automation:By integrating the newYOLO4 model into robots and automated systems for tasks such as sorting letters or packages by their labels, the model can speed up processing times and improve overall efficiency within logistics and manufacturing industries.

Use Free =, 0 and 1 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": "=, 0, 1, 2, 3"
  },
  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{ newyolo4_dataset,
  title = { newYOLO4 Dataset },
  type = { Open Source Dataset },
  author = { Maskim },
  howpublished = { \url{ https://universe.roboflow.com/maskim/newyolo4 } },
  url = { https://universe.roboflow.com/maskim/newyolo4 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { jun },
  note = { visited on 2026-07-29 },
}

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