Sheep_detection Object Detection Dataset and Pre-Trained Model by MTandJL

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Explore Dataset

Here are a few use cases for this project:

Farm Monitoring: This model can be used by farmers or agricultural businesses for livestock management purposes. They could use the model to monitor the number of sheep in their fields, keep track of their movement, and even alert staff if the count decreases unexpectedly implying potential loss.
Environmental Research: Researchers studying animal distributions in different ecosystems can use this model to identify and quantify the presence of sheep in various environments, aiding in their ecological studies.
Wildlife Protection: Government wildlife agencies can use the "Sheep_detection" model to monitor the activity of sheep in protected nature reserves or wildlife sanctuaries, helping to protect the species and maintain ecological balance.
Sheep Breeding Program: Breeders can use this model to selectively separate sheep for breeding purposes based on the types and characteristics of sheep the model is able to identify, aiding in their breeding programs.
Sheep-derived Product Industries: Industries that depend on sheep-derived products such as wool or food products can use the AI model to monitor and estimate their production volume based on sheep counts.

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{
                            sheep_detection-chjlw_dataset,
                            title = { Sheep_detection Dataset },
                            type = { Open Source Dataset },
                            author = { MTandJL },
                            howpublished = { \url{ https://universe.roboflow.com/mtandjl/sheep_detection-chjlw } },
                            url = { https://universe.roboflow.com/mtandjl/sheep_detection-chjlw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-25 },
                            }