CameraTrap2 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 Monitoring: This model can be used in ecotourism or forest reserves to automatically monitor and record the presence of wildlife animals, particularly helpful in tracking endangered or rare animals like the Ocelot or RedSquirrel.
Bio-diversity Studies: Ecologists and conservationists could utilize this model to study biodiversity in certain ecosystems by identifying and documenting animal presence and activity, aiding in research and creating more effective conservation strategies.
Automated Ranger System: The model can be used in a smart park management system to monitor and control animal populations, specifically in hunting reserves to ensure balance and prevent over-hunting or poaching.
Educational Purposes: The model would be also extremely valuable in interactive educational apps or software for students learning about different species, specifically in places where exposure to diverse wildlife is limited.
Unsupervised Surveying: Researchers and scientists can use the model for conducting unsupervised surveys in distant or dangerous terrains to gather data for studying migration patterns, behavioural changes or population estimates for specific animal classes.

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{
                            cameratrap2_dataset,
                            title = { CameraTrap2 Dataset },
                            type = { Open Source Dataset },
                            author = { UTDGISC },
                            howpublished = { \url{ https://universe.roboflow.com/utdgisc/cameratrap2 } },
                            url = { https://universe.roboflow.com/utdgisc/cameratrap2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }