Numbers Object Detection Dataset and Pre-Trained Model by Numbers

Images

8973 images

Explore Dataset

Here are a few use cases for this project:

Math Equation Solver: Use "Numbers" to recognize and identify mathematical symbols, operators, and numbers in handwritten or printed equations, allowing for the automatic solving of these equations and providing step-by-step solutions to users.
Optical Character Recognition (OCR): Implement "Numbers" in an OCR system to identify numerical characters and mathematical symbols in documents such as invoices, receipts, and bank statements, aiding in data entry and expense tracking.
Educational Applications: Develop interactive educational tools that use "Numbers" to identify and analyze student inputs in math problems, providing feedback, hints, and real-time error correction while promoting the development of mathematical skills.
Assistive Technology: Incorporate "Numbers" into assistive devices for visually impaired individuals, enabling them to better understand and interpret numerical data, mathematical symbols, and operations in texts or on screen.
Image-based Search: Employ "Numbers" in an image search system to identify and categorize images containing numerical information or mathematical equations, streamlining the process of finding relevant visual content for users, such as educational materials or research publications.

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{
                            numbers-2ewg8_dataset,
                            title = { Numbers Dataset },
                            type = { Open Source Dataset },
                            author = { Numbers },
                            howpublished = { \url{ https://universe.roboflow.com/numbers-kilzm/numbers-2ewg8 } },
                            url = { https://universe.roboflow.com/numbers-kilzm/numbers-2ewg8 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-25 },
                            }