jero98772 / Curapeces2

fish diase identifier via photo

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Curapeces2

curapeces

Curapeces is an ongoing Python-based project designed for the self-diagnosis of fish health. Hosted on GitHub to maintain a comprehensive record of its development, Curapeces leverages a growing dataset, stored as variables within the codebase, with the ultimate objective of facilitating community-driven initiatives. While its current focus lies in the classification of images depicting diseased fish, Curapeces aspires to expand its functionality to support various open-source endeavors within the realm of fish-related projects. Acknowledging that it is a work in progress, Curapeces stands as a testament to continuous improvement, representing a commendable effort in both model development and project management.

The model is trained to classify the following fish diseases:

  1. Tumor and deformity attack
  2. Polydactyly
  3. Hydrocephalus and swim bladder
  4. Holes in the head
  5. Nopez (I couldn't find a direct translation, it seems like a term specific to a certain context)
  6. Parasite in the mouth
  7. Catfish burn
  8. Gills
  9. Lernea worm
  10. Fungi
  11. Ich white spot
  12. Blind eye
  13. Fin rot
  14. Healthy

CuraPeces Dataset

The CuraPeces dataset is available in two versions:

  1. CuraPeces_Removed_background: This dataset includes images with the background removed.

  2. CuraPeces_Background: This dataset contains images with the original background.

Purpose

The primary aim of these datasets is to improve the accuracy of training models, particularly for tasks related to fish species classification.

Model

The model associated with this dataset is available here: Curapeces.

Previous Repository

The development of this dataset and model was preceded by the repository jero98772/curapeces.

Applications

The work done with the CuraPeces dataset and associated model has various applications, some of which include:

Questions?

Feel free to reach out with any questions or collaboration opportunities at jero98772@protonmail.com. I'm always open to discussing ideas, suggestions, or potential partnerships to further enhance the Curapeces project and its applications. Let's work together to make a positive impact in the field of fish health and beyond.

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fish diase identifier via photo

License:GNU Lesser General Public License v3.0


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Language:Python 100.0%