chicken_video Object Detection Dataset and Pre-Trained Model by Team2projects

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Explore Dataset

Here are a few use cases for this project:

Poultry Farming Surveillance: This model can be used in poultry farms to monitor the poultry health and track individual chickens. Identification of any abnormalities in behavior can be an early indicator of diseases, therefore, this technology can help to promote healthier farming practices.
Food Safety and Selection: During the food manufacturing process, this model can be implemented to differentiate chicken from other types of poultry. It will help to ensure integrity in food handling and processing.
Animal Behavior Research: Scientists and animal behaviorists could use this model to conduct precise studies on chicken behavior, feeding habits, social structure, and identifying different classes of chicken without human intervention.
Smart City Initiatives - Animal Control: The model could be employed in smart city initiatives to identify and track the movement of chickens in urban settings where such birds aren't typically supposed to roam freely.
Educational Use: The model can be used in educational software for teaching about different classes of chicken or animal life in general, providing real-time visual recognition and information delivery.

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{ chicken_video_dataset,
    title = { chicken_video Dataset },
    type = { Open Source Dataset },
    author = { Team2projects },
    howpublished = { \url{ https://universe.roboflow.com/team2projects/chicken_video } },
    url = { https://universe.roboflow.com/team2projects/chicken_video },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-12-10 },
}