Broiler Instance Segmentation Instance Segmentation Dataset and Pre-Trained Model by rawitchK

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Explore Dataset

Here are a few use cases for this project:

Poultry Health Management: This model could be used to track individual broilers' movement, behavior, or eating patterns, which would help identify early signs of disease or stress among the flock.
Livestock Monitoring: Farmers can use it to monitor and manage broiler numbers in the poultry farm, ensuring a constant count and detecting any unusual decrease that could signify theft or loss.
Broiler Research: For scientists and researchers studying broiler behavior or genetics, the model can help to identify and track individual broilers for detailed observation and data collection.
Animal Welfare: Animal welfare organizations could use the model to ensure safe and non-crowded living conditions for broilers, as it offers an automated way to count and track the birds, helping enforce rules on the maximum number of chickens per cage.
Broiler Trading & Supply Monitoring: Companies in the poultry supply chain can use this model to verify the quality and quantity of broilers in supply and demand, reducing broiler trading discrepancies and fraud.

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{
                            broiler-instance-segmentation_dataset,
                            title = { Broiler Instance Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { rawitchK },
                            howpublished = { \url{ https://universe.roboflow.com/rawitchk/broiler-instance-segmentation } },
                            url = { https://universe.roboflow.com/rawitchk/broiler-instance-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-12 },
                            }