Squirrel Computer Vision Project
Training set of Squirrels in diverse green backgrounds for use in a garden deterent system.
Contains hundreds of annotated images (all classes should be exported to one final class).
This was intended for an embedded offline system (Raspberry PI with TPU coprocessor) but I have created a cloud version as well. Embedded System uses Google Coral USB Acceelrator and a TensorflowLite Model instead of Yolov8. Trained through model maker.
Made by Ron Kovler
Image and Video can be found: https://drive.google.com/drive/folders/1LFKS-4xiAecKM9J50HS-xE9fiyxUVoeU?usp=sharing
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{
squirrel-xgfti_dataset,
title = { Squirrel Dataset },
type = { Open Source Dataset },
author = { Squirrel },
howpublished = { \url{ https://universe.roboflow.com/squirrel-iest3/squirrel-xgfti } },
url = { https://universe.roboflow.com/squirrel-iest3/squirrel-xgfti },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-05-04 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Squirrel project in your project.