Lizard_detection Computer Vision Project
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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.
Use This Trained Model
Try it in your browser, or deploy 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{
lizard_detection-s5bp2_dataset,
title = { Lizard_detection Dataset },
type = { Open Source Dataset },
author = { ai },
howpublished = { \url{ https://universe.roboflow.com/ai-mez98/lizard_detection-s5bp2 } },
url = { https://universe.roboflow.com/ai-mez98/lizard_detection-s5bp2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { mar },
note = { visited on 2025-04-19 },
}