Number Recognition Computer Vision Dataset
About Number Recognition Dataset
Here are a few use cases for this project:
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License Plate Recognition: The "Number Recognition" model can be used to identify and read license plate numbers and letters, which can be useful for law enforcement agencies or parking management systems.
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Document Digitization: This model could be useful in digitizing printed or hand-written texts like letters, forms, receipts, and invoices. Its ability to recognize an assortment of numbers and letters can simplify content extraction from these documents.
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Learning Tools: It can serve as the backbone of an educational app that helps children learn numbers and letters. Children can draw or select a figure, and the model can provide instant feedback on what number or letter it is.
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Postal Services: This model could aid in automatically reading postal codes or addresses on letters and parcels, thereby improving the speed and efficiency of sorting and delivery processes.
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Deciphering Captcha Verification: Companies or security agencies can use this model to test the strength of their captchas against automatic deciphers, ensuring their sites are secure from bots.
Use Free 0, 01 and 1 Detection API
Powered by general detection model
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, 01, 1, 10, 2"
},
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
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ number-recognition_dataset,
title = { Number Recognition Dataset },
type = { Open Source Dataset },
author = { Hayot Rahimov },
howpublished = { \url{ https://universe.roboflow.com/hayot-rahimov/number-recognition } },
url = { https://universe.roboflow.com/hayot-rahimov/number-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2026-07-29 },
}