Roboflow Universe My workspace animal-track

animal-track Computer Vision Project

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457 images

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This model is intended to classify tracks of game and fur mammals that are found in Maryland. The model classifies tracks by family-level taxonomy as opposed by species, and currently identifies the following taxonomic groups: ursidae, cervidae, felidae, canidae, mustelidae. Each class is intended to be made up of around 140-150 samples, and images are pulled from research grade samples from this iNaturalist project: https://www.inaturalist.org/projects/north-american-animal-tracks-database This model was created for a class assignment in AI and Natural History at St. Mary’s College of Maryland.

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{
                            animal-track-ftvw2_dataset,
                            title = { animal-track Dataset },
                            type = { Open Source Dataset },
                            author = { My workspace },
                            howpublished = { \url{ https://universe.roboflow.com/my-workspace-cywis/animal-track-ftvw2 } },
                            url = { https://universe.roboflow.com/my-workspace-cywis/animal-track-ftvw2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }