Lizard_detection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Wildlife Research: Ecologists and biologists can use the "Lizard_detection" model to identify and study different species of lizards in their natural habitats. It could facilitate a more accurate counting of the population and help understand their behavior patterns.
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Pet Care and Retail: Pet stores and reptile owners can use this model to identify the exact species of lizards, either for sale or for ensuring proper care specific to the particular species.
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Biodiversity Conservation: The model could be useful in projects seeking to monitor biodiversity in specific regions. It can promptly detect the presence of lizards, aiding in determining the health of an ecosystem.
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Public Health Monitoring: In areas where certain lizards are carriers of disease or parasites harmful to humans, this model can aid in early detection and prevention measures.
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Education and Training: The model could be used in educational settings or in training wildlife field researchers, helping students and professionals easily recognize and distinguish lizard species.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lizard_detection_dataset,
title = { Lizard_detection Dataset },
type = { Open Source Dataset },
author = { Uni of Leicester },
howpublished = { \url{ https://universe.roboflow.com/uni-of-leicester-l2rzt/lizard_detection } },
url = { https://universe.roboflow.com/uni-of-leicester-l2rzt/lizard_detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2024-11-17 },
}