Lusby Snake Identification Computer Vision Project

ENST395

Updated 9 days ago

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Classes (3)
Agkistrodon-contortrix
Nerodia-sipedon
Pantherophis-alleghaniensis

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Description

This model aims to identify three of the most commonly sighted snakes in the Lusby, Maryland area, venomous and non-venomous, for educational purposes to the community. Due to stigma, snakes are often killed even when they are overall harmless. Through this model, I hope to educate on the benefits of snakes to our ecosystem as well as encourage safe handling. I used Roboflow's Object Detection Model, annotating species using the Bounding Box feature. Additionally, this model was created for a class assignment in "Artificial Intelligence and Natural History" at St. Mary's College of Maryland.

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LICENSE
CC BY 4.0

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

                        @misc{
                            lusby-snake-identification_dataset,
                            title = { Lusby Snake Identification Dataset },
                            type = { Open Source Dataset },
                            author = { ENST395 },
                            howpublished = { \url{ https://universe.roboflow.com/enst395/lusby-snake-identification } },
                            url = { https://universe.roboflow.com/enst395/lusby-snake-identification },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-11-29 },
                            }