Nepal_data Object Detection Dataset and Pre-Trained Model by UTDGISC

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Explore Dataset

Here are a few use cases for this project:

Wildlife Conservation: The "Nepal_data" model could be instrumental in wildlife conservation efforts. By identifying different species accurately, the model can help monitor the population and migratory patterns of these animals in Nepal, thus providing valuable data for wildlife protection initiatives.
Illegal Hunting Monitoring: Authorities can use this model to identify instances of illegal hunting of protected species. By scanning images or video footages from various sources, the model can identify the presence of specified animals which are targets for hunting and alert the authorities.
Eco-Tourism Development: This model can aid eco-tourism development by identifying and tracking the movements of specific animals in different regions. This information could be useful for planning sustainable wildlife tours or safaris that contribute to local economies without disturbing the natural habitat of these animals.
Aiding Research: Research institutions could use the "Nepal_data" model to analyze the behavior and habitats of iconic Nepal wildlife. Researchers could use the model to classify and analyze images or videos, thus saving them valuable time and resources.
Education and Awareness: The model could be used in education applications to generate awareness about these animals. Schools, nature clubs, and conservation societies could incorporate the use of this tool in their learning modules about wildlife preservation.

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{
                            nepal_data_dataset,
                            title = { Nepal_data Dataset },
                            type = { Open Source Dataset },
                            author = { UTDGISC },
                            howpublished = { \url{ https://universe.roboflow.com/utdgisc/nepal_data } },
                            url = { https://universe.roboflow.com/utdgisc/nepal_data },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-27 },
                            }