bearBox Computer Vision Project
Model to understand common animals of interest as well as if a package is delivered. These are two very different things and trying to see how well the model can handle both scenarios.
Picking animals that are not in common libraries like Coyote and Cougar.
Trying to see if model will also identify different brands of deliveries.
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.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
bearbox_dataset,
title = { bearBox Dataset },
type = { Open Source Dataset },
author = { testCamera },
howpublished = { \url{ https://universe.roboflow.com/testcamera/bearbox } },
url = { https://universe.roboflow.com/testcamera/bearbox },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { apr },
note = { visited on 2024-04-30 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the bearBox project in your project.