animal-track Computer Vision Project

My workspace

Updated 8 months ago

views

downloads

Metrics

Try This Model

Drop an image or

browse your device

Description

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.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE

CC BY 4.0

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 2024-12-21 },
                            }