NumOCR1 Object Detection Dataset and Pre-Trained Model by OneKK

Images

25 images

Explore Dataset

Here are a few use cases for this project:

Dog Breed Identification: Use the NumOCR1 model to classify images of dogs into one of the three recognized breeds - German Shepherd, French Bulldog, and Golden Retriever - which can assist dog shelters, pet owners, and breeders in understanding the breed of the dog in the image.
Augmented Reality Gaming for Kids: NumOCR1 can be incorporated into educational gaming apps for kids, where they have to find and capture images of the specific dog breeds or numbers (7) in their environment to progress through the game or complete challenges.
Customized Pet Product Marketing: Companies selling breed-specific pet products can use the NumOCR1 model to automatically identify dog breeds from user-uploaded images on their websites and recommend relevant products, such as breed-specific food, toys, or accessories.
Image Annotation and Categorization: Photo processing tools can use NumOCR1 to automatically tag images containing the recognized objects (7, German Shepherd, French Bulldog, and Golden Retriever) for better organization and easier searchability within users' photo libraries.
Pet Adoption Assistance: Animal shelters and rescue organizations can use NumOCR1 to identify the breeds of dogs they have available for adoption, making it easier to create targeted promotions and accurately match potential adopters with a pet that suits their breed preferences.

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{
                            numocr1_dataset,
                            title = { NumOCR1 Dataset },
                            type = { Open Source Dataset },
                            author = { OneKK },
                            howpublished = { \url{ https://universe.roboflow.com/onekk/numocr1 } },
                            url = { https://universe.roboflow.com/onekk/numocr1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-06-30 },
                            }