BIRDS DETECTION Computer Vision Project
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downloadsThe goal of this project is to build a specialized bird detection model capable of recognizing specific bird species, including Crow, Kingfisher, Myna, Owl, Peacock, Pigeon, and Sparrow. We compiled a diverse dataset of images containing these bird species and used the Roboflow annotation tool to manually label their locations within each image. Once the annotation was completed, the data was exported in the YOLOv8 format.
Next, we trained a custom YOLOv8 model on this dataset to accurately detect and identify the chosen bird classes across different environments and scenarios. This project harnesses the power of YOLOv8’s object detection capabilities to improve the precision and reliability of bird species identification in images.
You can find more details about the project on GitHub by clicking on this link.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
birds-detection-uem1j_dataset,
title = { BIRDS DETECTION Dataset },
type = { Open Source Dataset },
author = { Puspendu AI Vision Workspace },
howpublished = { \url{ https://universe.roboflow.com/puspendu-ai-vision-workspace/birds-detection-uem1j } },
url = { https://universe.roboflow.com/puspendu-ai-vision-workspace/birds-detection-uem1j },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-12-28 },
}