TIP dddggg Object Detection Dataset and Pre-Trained Model by TIP D0gg

Images

9279 images

Explore Dataset

Here are a few use cases for this project:

Pet Adoption Agencies: Agencies could use the "TIP dddggg" model to automatically identify and categorize images of dogs in their database, speeding up the adoption process by allowing potential adopters to quickly find and view images of available dogs.
Animal Rescue Center: This model could be used in animal rescue centers to identify images of dogs under their care, especially dogs being held in cages. These identifications could help in ensuring each dog's proper care and health condition monitoring.
Dog Breed Identification: If the model can identify different breeds of dogs, it could be used by dog enthusiasts or dog breeders to categorize and identify specific breeds in various scenarios and environments.
Security and Monitoring: Surveillance systems could use this model to detect the presence of dogs in restricted areas or monitor animals in boarding kennels, ensuring their well-being and safety.
Online Pet Shop: E-commerce platforms selling pet accessories could use this model to identify dogs in customer-submitted images, helping to recommend the correct size or type of product like cages, collars, etc., based on the dog's breed and size.

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{
                            tip-dddggg_dataset,
                            title = { TIP dddggg Dataset },
                            type = { Open Source Dataset },
                            author = { TIP  D0gg },
                            howpublished = { \url{ https://universe.roboflow.com/tip-d0gg/tip-dddggg } },
                            url = { https://universe.roboflow.com/tip-d0gg/tip-dddggg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }