WILD ANIMALS DETECTION Computer Vision Project
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The goal of this project is to create a specialized model for detecting and recognizing specific wild animals, including Elephant, Gorilla, Giraffe, Lion, Tiger, and Zebra. We gathered images of these animals and used the Roboflow annotation tool to manually label each animal class. After annotation, the data was exported in the YOLOv8 format.
Next, we trained a custom YOLOv8 model on this dataset to accurately detect and recognize the selected animal species in images. The project leverages YOLOv8’s object detection capabilities to improve detection accuracy for wildlife monitoring and research purposes.
You can find more details about the project on GitHub by clicking on this link. To view the training logs and metrics on wandb, click here.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
wild-animals-detection-fspct-anw7y_dataset,
title = { WILD ANIMALS DETECTION Dataset },
type = { Open Source Dataset },
author = { jiten },
howpublished = { \url{ https://universe.roboflow.com/jiten-njjcs/wild-animals-detection-fspct-anw7y } },
url = { https://universe.roboflow.com/jiten-njjcs/wild-animals-detection-fspct-anw7y },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-18 },
}