TIP cts Object Detection Dataset and Pre-Trained Model by TIP C4t

Images

9985 images

Explore Dataset

Here are a few use cases for this project:

Pet Identification and Tracking: The "TIP cts" model can be used to identify and track cats in various environments, from pet shops to homes and streets. This could be particularly useful for animal control agencies or pet rescue organizations that need to locate, identify, and keep track of cats in their care or in certain areas.
Animal Behavior Research: Researchers studying cat behavior can use this model to analyze video footage or images, identifying instances and contexts where cats are present. They can use the insights gained to learn more about interaction patterns between cats and humans or other animals.
Lost and Found Pet Services: The model can be employed by pet services to help identify lost cats. By inputting images from lost pet flyers, the system could potentially identify matches from images taken from animal shelters or found pet postings online.
Feeding Automation in Pet Care: In automated pet feeding systems, the model could identify when a cat is present to trigger the food dispensing mechanism, thus reducing the chance of wasting food or feeding unintended animals.
Developing Enhanced AI Pet Toys: Toy manufacturers can use this model to create interactive pet toys that respond when they identify a cat. Cat interactive toys can keep cats engaged, active, and healthy by moving or activating when a cat is identified nearby.

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-cts_dataset,
                            title = { TIP cts Dataset },
                            type = { Open Source Dataset },
                            author = { TIP  C4t },
                            howpublished = { \url{ https://universe.roboflow.com/tip-c4t/tip-cts } },
                            url = { https://universe.roboflow.com/tip-c4t/tip-cts },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-02 },
                            }