Snails Object Detection Dataset and Pre-Trained Model by james-gibbon

Images

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Explore Dataset

Here are a few use cases for this project:

Biodiversity Research: The "Snails" model can aid ecological researchers in the field of biodiversity. It can be used to quickly identify and categorize snails from pictures and can even determine if there is human interference in the images.
Gardening Application: The model can be integrated into a gardening app to help users identify whether certain objects are snails or slugs, helping them to manage their garden's ecosystem more effectively.
Wildlife Photography Categorization: Wildlife photographers can use it to tag and categorize their images, making it easier for others to locate specific images in their collection.
Education Tools: The model can be used in interactive educational tools about biodiversity, allowing students to upload images and identify whether it contains snails or not, among other objects.
Numismatic Studies: The model can help coin collectors or numismatists, given its ability to identify coins in images, used for classifying and digitizing coin collections.

Trained Model API

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{
                            snails-rxbdk_dataset,
                            title = { Snails Dataset },
                            type = { Open Source Dataset },
                            author = { james-gibbon },
                            howpublished = { \url{ https://universe.roboflow.com/james-gibbon/snails-rxbdk } },
                            url = { https://universe.roboflow.com/james-gibbon/snails-rxbdk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-05-03 },
                            }