deer detection Computer Vision Project
This project is aimed to detect wild animals (deers, elks) from images taken from UAV. YOLO8 model was used to detect deers. Only 37 images was annotated anf for this reason this model is not able to detect animals properly. The bigger dataset is required for this task.
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{
deer-detection-qebae_dataset,
title = { deer detection Dataset },
type = { Open Source Dataset },
author = { silent wings },
howpublished = { \url{ https://universe.roboflow.com/silent-wings/deer-detection-qebae } },
url = { https://universe.roboflow.com/silent-wings/deer-detection-qebae },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-04-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the deer detection project in your project.