Mankind_Images Computer Vision Project

Rishikesh

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. License Plate Recognition: Utilize the Mankind_Images model to identify and extract characters from vehicle license plates for parking management systems, toll booths, or traffic enforcement.

  2. Optical Character Recognition (OCR) for Labels: Apply the model to read and interpret textual information from product labels, packaging, and barcodes, which can be useful in inventory management, warehousing, and retail.

  3. Historical Document Processing: Use the model to recognize and transcribe characters in historical documents or manuscripts, aiding researchers in studying and preserving content from the past.

  4. Handwriting Recognition: Employ Mankind_Images to identify and digitize handwritten characters in personal notes, letters, or other documents, helping with text extraction and data input.

  5. Educational Tools: Develop apps and software to assist in learning and practicing typographic recognition, letter identification, and language skills using the Mankind_Images model as a foundation.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            mankind_images_dataset,
                            title = { Mankind_Images Dataset },
                            type = { Open Source Dataset },
                            author = { Rishikesh },
                            howpublished = { \url{ https://universe.roboflow.com/rishikesh/mankind_images } },
                            url = { https://universe.roboflow.com/rishikesh/mankind_images },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-12-08 },
                            }
                        
                    

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