jero98772/CuraPeces_Background

Dataset of fish diases

Description:

The Fish Disease Dataset is a collection of images depicting various diseases affecting fish. These images have been curated and labeled for the purpose of training and evaluating machine learning models for the detection and classification of fish diseases. The dataset covers a diverse range of fish species and diseases commonly observed in aquaculture and natural environments. (we get it of manual search in internet in 2017, in websites like facebook,google,duckduckgo ...)

Dataset Composition:

Images: The dataset contains high-resolution images of fish exhibiting symptoms of different diseases. These images capture various perspectives and conditions to ensure diversity and robustness in model training.

Purpose: make a model for identify diases of domestic fishes

Potential Applications:

Development of automated systems for early detection and diagnosis of fish diseases in aquaculture facilities. Research on the epidemiology and spread of various fish diseases in different geographical regions. Training and evaluation of machine learning models for real-time monitoring of fish health in natural habitats and aquaculture environments. Data Usage: The Fish Disease Dataset is made freely available for non-commercial research and educational purposes. Users are encouraged to cite the source of the dataset in their publications and provide appropriate attribution to the contributors.

Contributing:

Contributions to the Fish Disease Dataset are welcome and encouraged. If you have additional images or annotations that could enhance the quality and diversity of the dataset, please reach out to the maintainers for potential inclusion.

Contact Information:

For inquiries, feedback, or collaboration opportunities related to the Fish Disease Dataset, please contact [curapeces@gmail.com].

License:

The Fish Disease Dataset is released under [insert license type, e.g., Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License]. Please refer to the accompanying license file for detailed terms and conditions of use.

Note, this readme was made by GPT