Name: DetectAgeofBoar Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

2412 images

Explore Dataset

Here are a few use cases for this project:

Wildlife Conservation Research: The "DetectAgeofBoar" model can be used by conservationists and researchers to monitor the population and age distribution of wild pigs in specific areas. This could be instrumental in understanding the species' lifecycle, behaviors, and survival challenges, which could lead to important insights for conservation efforts.
Invasive Species Management: In areas where wild pigs are considered invasive, the model can help in controlling their population. By understanding the age distribution of these animals, management strategies can be developed to control their reproduction and growth.
Damage Assessment: Wild pigs can cause significant damage to agriculture and ecosystems. By determining the age and hence potential size of boars in a particular area, the model can help predict potential damage levels, aiding in the preparation or prevention of such damage.
Wildlife Photography and Filmmaking: For wildlife photographers and filmmakers, the model can help identify the optimal places and times to find and capture images of wild pigs based on their age groups.
Hunting Regulation Enforcement: Game wardens or other regulatory enforcement agencies could use this model to enforce hunting regulations. By accurately identifying the age of wild pigs, it can ensure that only animals of a legal age are harvested, promoting sustainable hunting practices.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            detectageofboar_dataset,
                            title = { DetectAgeofBoar Dataset },
                            type = { Open Source Dataset },
                            author = { YOLO v8 Tutorial },
                            howpublished = { \url{ https://universe.roboflow.com/yolo-v8-tutorial/detectageofboar } },
                            url = { https://universe.roboflow.com/yolo-v8-tutorial/detectageofboar },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }