SIngle class Computer Vision Project

Number Recognition

Updated 2 years ago

19

views

0

downloads
Classes (1)

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Educational Tools: "Single class" can be integrated into educational applications or games to teach and reinforce number recognition for children, enabling them to visually identify numbers and understand their different representations.

  2. Financial Document Analysis: The model can be used to extract and analyze numerical data from financial documents, such as invoices, receipts, or bank statements, automating data entry tasks and reducing human errors in record-keeping.

  3. License Plate Recognition: Implementing "Single class" in traffic management systems can enable automatic detection and recognition of numbered license plates. This can facilitate tasks such as traffic violation monitoring, toll collection, and parking enforcement.

  4. Handwritten Number Recognition: The model can be employed to recognize and digitize handwritten numbers in various scenarios, including postal codes on envelopes, historical document transcription, or standardized test scoring.

  5. Assistive Technologies: "Single class" can be utilized to develop accessible technologies for individuals with visual impairments. By translating recognized numbers into audio or tactile signals, it can help users navigate everyday tasks, interact with digital interfaces, and gain more independence in their lives.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            single-class-ivols_dataset,
                            title = { SIngle class Dataset },
                            type = { Open Source Dataset },
                            author = { Number Recognition },
                            howpublished = { \url{ https://universe.roboflow.com/number-recognition/single-class-ivols } },
                            url = { https://universe.roboflow.com/number-recognition/single-class-ivols },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-25 },
                            }
                        
                    

Similar Projects

See More