handwritten digit Object Detection Dataset and Pre-Trained Model by RUET

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Explore Dataset

Here are a few use cases for this project:

Math Education Tools: The model could be integrated into an educational software to help students learn and visualize math problems. It can recognize and interpret handwritten equations, turning them into digital format, allowing students to solve them more easily.
Handwritten Data Digitization: This can be used in institutions like banks, where many data entries are still done by hand. This tool could transcribe these handwritten entries into digital numbers, helping to automate the digitization process.
Automated Marking System: The model can be used to auto-grade written numerical assignments or exam answers, reducing redundancy for teachers and providing objective scoring.
Invoice Processing: Companies dealing with large numbers of handwritten invoices could use the model to accurately transcribe these documents into a digital system for easy tracking and management.
Handwriting Recognition in Health Sector: In healthcare, doctors' handwritten notes or prescriptions often cause issues. This model could digitize those notes, ensuring that errors due to illegibility are minimized.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            handwritten-digit_dataset,
                            title = { handwritten digit Dataset },
                            type = { Open Source Dataset },
                            author = { RUET },
                            howpublished = { \url{ https://universe.roboflow.com/ruet-tdttc/handwritten-digit } },
                            url = { https://universe.roboflow.com/ruet-tdttc/handwritten-digit },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-29 },
                            }