Roboflow Universe Muhammad Suzaki Zahran DOC Dataset

DOC Dataset Computer Vision Project

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Here are a few use cases for this project:

Poultry Farming Automation: The model can be utilized for automation in poultry farming for counting and health monitoring of chicks. It can detect and differentiate between alive (hidup) and dead (mati) chicks, helping farmers maintain healthy flocks.
Smart Poultry Retail: Retailers who sell chicks and chickens could use the model to categorize their livestock effectively and keep an accurate inventory.
Animal Welfare Organizations: These organizations could utilize this model to monitor the conditions of chicks and chickens in various environments, ensuring they are alive and well.
Educational Purposes: The model could be used in biology classes and bird-related studies to help students identify and understand the different states of chicken life.
Veterinary Services: Veterinarians can use this model to automate recognizing the condition of chicks and chickens thus helping in early diagnosis of diseases.

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{
                            doc-dataset_dataset,
                            title = { DOC Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Muhammad Suzaki Zahran },
                            howpublished = { \url{ https://universe.roboflow.com/muhammad-suzaki-zahran/doc-dataset } },
                            url = { https://universe.roboflow.com/muhammad-suzaki-zahran/doc-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-02 },
                            }