Key_value Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Document Processing and Analysis: Use "Key_value" to parse forms, invoices, receipts, or any printed or digital documents that have a 'Key-Value' pair structure. The model will identify and separate the 'Keys', 'Values', and 'Noise'.
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Data Extraction: Use this computer vision model for extracting key information from business cards, IDs, or certificates, distinguishing valuable data from noise.
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Image-Based Search Engines: Implement "Key_value" to extract and interpret textual content within images, categorizing it as 'key', 'value', or 'noise'. These results can be used as tags to index and search images more accurately.
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Optical Character Recognition Improvement: Enhance OCR systems with "Key_value". It can be used to identify and segregate actual data from noise in scanned images, enabling clearer and more efficient text recognition.
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Automated Data Entry: Use "Key_value" in creating a system for automatic data entry where the model can extrapolate 'keys' and their corresponding 'values' from images of structured forms, reducing manual labor and errors.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
key_value-up00u_dataset,
title = { Key_value Dataset },
type = { Open Source Dataset },
author = { Shiva Reddy },
howpublished = { \url{ https://universe.roboflow.com/shiva-reddy/key_value-up00u } },
url = { https://universe.roboflow.com/shiva-reddy/key_value-up00u },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2025-02-18 },
}