snake-class Computer Vision Project
Updated a year ago
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This Python-based AI image classification model has been trained to distinguish between venomous and nonvenomous snakes. The model was created using Roboflow sdk for data preprocessing and Google Colab with python code for training for those who cannot afford a GPU or utilising a heavy duty device. The dataset used for training primarily includes images of Southern African local snake species. This model was inspired by the challenges of differentiating between venomous & nonvenomous snakes in my local wildlife area.
How to utilise deployed model on Roboflow
- Try the model by dropping a image of any snake to the bounding box
- Wait a few seconds as the predictions load!
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
snake-class_dataset,
title = { snake-class Dataset },
type = { Open Source Dataset },
author = { Shanr Scheepers },
howpublished = { \url{ https://universe.roboflow.com/shanr-scheepers/snake-class } },
url = { https://universe.roboflow.com/shanr-scheepers/snake-class },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2024-11-25 },
}