#Context :

General Introduction The data was created to build a deep learning based fish skin-image to disease identification model.which can help aquaculture . In the dataset there are total** 7** class

1. Bacterial diseases - Aeromoniasis .There are total 250 image .
2. Bacterial gill disease . total number of image 250
3. Bacterial Red disease . total number of image 250
4. Fungal diseases . Saprolegniasis total number of image 250
5. Healthy Fish . total number of image 250
6. Parasitic diseases . total number of image 250
7. Viral diseases White tail disease . total number of image 250

Data collection This is the most common disease in freshwater aquaculture.This is a custom dataset. Data collected from various websites and some images from various Institutes of Freshwater Aquaculture in South Asia.

Source The CSV data was created on the based on image data . you can find the codes below : https://github.com/subirbiswas192001/image-to-csv-file-in-python.git

Inspiration you can build a machine learning model that can prediction fish disease