OhaVerification Computer Vision Dataset

byAI DNITask:
Object Detection
License:MIT

About OhaVerification Dataset

Here are a few use cases for this project:

  1. Identity Verification Systems: OhaVerification can be used in systems such as banking, finance, and insurance to automate the process of verifying a client's identity using their passport or other ID documents. It can identify essential components, such as names, ID numbers, and photos.

  2. Automated Entry & Security Checks: It can be applied in automated entry systems at airports, train stations, and government buildings to check the validity of individuals' documents (such as passport or national ID) swiftly and accurately.

  3. Fraud Detection: The model can be used to detect fraudulent documents in systems such as immigration, law enforcement, and customs. By identifying crucial document components, it can aid in determining the authenticity of the document.

  4. Digital Onboarding: Companies, especially in the tech industry, can use it to facilitate digital onboarding processes. It can help to verify employee documents such as passport, national ID, and other identification documents in an automated, quick, and efficient way.

  5. Age Verification: For platforms requiring age restrictions, the model could be used to verify a user's age by identifying and analyzing the 'fecha_nacimiento' (date of birth) field from the uploaded ID document.

Use Free Apellidos, Cedula and Estado_civil 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": "apellidos, cedula, estado_civil, fecha_expedicion, fecha_nacimiento"
  },
  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

LicenseMIT

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

@misc{ ohaverification_dataset,
  title = { OhaVerification Dataset },
  type = { Open Source Dataset },
  author = { AI DNI },
  howpublished = { \url{ https://universe.roboflow.com/ai-dni/ohaverification } },
  url = { https://universe.roboflow.com/ai-dni/ohaverification },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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