Combined_Data Object Detection Dataset and Pre-Trained Model by Project

Images

1064 images

Explore Dataset

Here are a few use cases for this project:

Character Recognition in Traffic Signs: This computer vision model could be used to identify and interpret the text on traffic signs, helping autonomous vehicles or driving assistance systems understand road rules.
Document Scanning and Text Extraction: The model could be applied to scan printed or handwritten documents, extract and digitalize the text for archival and data processing purposes.
License Plate Recognition: Law enforcement and parking management systems could deploy the model to automatically read car license plates.
Education and Learning Tools: In educational settings, the model could be applied to create interactive learning tools which can identify letters, numbers, and characters, aiding in language and elementary mathematics learning.
Augmented Reality Games: The model could be used in AR applications to recognize real-world letters, numbers, and symbols which can trigger in-game events, puzzles or clues, enhancing the gaming experience.

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{
                            combined_data_dataset,
                            title = { Combined_Data Dataset },
                            type = { Open Source Dataset },
                            author = { Project },
                            howpublished = { \url{ https://universe.roboflow.com/project-ka8v8/combined_data } },
                            url = { https://universe.roboflow.com/project-ka8v8/combined_data },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-29 },
                            }