Florida Anole Identifier Computer Vision Project

PattonHWorkspace

Updated a month ago

17

views

0

downloads
Classes (6)
Bark Anole
Brown Anole
Crested Anole
Green Anole
Jamaican Giant Anole
Knight Anole

Metrics

Try This Model
Drop an image or
Description

This is a model to identify different species of Anoles found in Florida. This includes 6 classes, including the native Green Anole (Anolis carolinensis) and the non-native Brown Anole (Anolis sagrei), Knight Anole (Anolis equestris), Jamaican Giant Anole (Anolis garmani), Bark Anole (Anolis distichus), and the Crested Anole (Anolis cristatellus). While this may not be all the Anoles possibly found in Florida, this model is in its infancy and could be expanded upon with more successful results. The goal of this model is to help identify between the different anoles for purposes related to, but not limited to, ecology, collection, and conservation. Images were collected via the iNaturalist database (Research grade photos), and the Florida Museum Herpetology 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.

Supervision

Build Computer Vision Applications Faster with Supervision

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

Cite This Project

LICENSE
BY-NC-SA 4.0

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

                        @misc{
                            florida-anole-identifier_dataset,
                            title = { Florida Anole Identifier  Dataset },
                            type = { Open Source Dataset },
                            author = { PattonHWorkspace },
                            howpublished = { \url{ https://universe.roboflow.com/pattonhworkspace/florida-anole-identifier } },
                            url = { https://universe.roboflow.com/pattonhworkspace/florida-anole-identifier },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-12-24 },
                            }