Stamp detection Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Document Authentication: This Stamp Detection model is useful in verifying and authenticating official documents, such as contracts or certificates, where the presence of a signature or stamp is necessary.
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Forensic Investigations: The model can facilitate the process of identifying and dating historical documents or pieces of art by recognizing types of stamps and signatures.
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Postal Services: The model can be used in post offices where it can sort mail based on detected stamps, thus automating the mail sorting process.
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Legal Document Analysis: Law firms and legal tech companies can use this model to automate the process of verifying and categorizing legal documents based on whether they are stamped and signed.
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Automation in Financial Institutes: Banks and other financial institutions could use this model to detect and verify stamped and signed cheques or other financial documents to reduce fraudulent activities.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
stamp-detection-4jhgg_dataset,
title = { Stamp detection Dataset },
type = { Open Source Dataset },
author = { Stampa },
howpublished = { \url{ https://universe.roboflow.com/stampa/stamp-detection-4jhgg } },
url = { https://universe.roboflow.com/stampa/stamp-detection-4jhgg },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-23 },
}