Roboflow Universe Shanr Scheepers snake-class

snake-class Computer Vision Project

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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.

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This project has a trained model available that you can try in your browser and use to get predictions 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{
                            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 2024-05-10 },
                            }