Gold Fishes Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
-
Fish Breeders: Fish breeders can utilize the "Gold Fishes" model to differentiate between male and female gold fishes, which can be quite challenging to identify only by visual inspection. This application would help in planning appropriate mating strategies and effectively increase the population in their aquarium.
-
Pet Stores: Retailers and pet stores can use such a model to ensure they have an adequate balance of male and female goldfish. This can be critical in preventing overpopulation or underpopulation problems in their tanks and providing accurate information to buyers.
-
Marine Biology Research: Marine biologists and researchers can use this model for studies related to gender-based behaviors, reproduction methods, or population dynamics among goldfish in a certain ecology.
-
Environmental Conservation: Conservationists and environmental scientists can use the "Gold Fishes" model to identify males and females in the wild to study their population dynamics, which can be an important component of preserving biodiversity within an ecosystem.
-
Education: The model can be a useful tool for educational purposes in schools, colleges, or research institutes where students can learn about marine life, specifically the differentiation between male and female gold fishes.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
gold-fishes-j8tt8_dataset,
title = { Gold Fishes Dataset },
type = { Open Source Dataset },
author = { Shays Ahmed },
howpublished = { \url{ https://universe.roboflow.com/shays-ahmed-avqus/gold-fishes-j8tt8 } },
url = { https://universe.roboflow.com/shays-ahmed-avqus/gold-fishes-j8tt8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2025-01-05 },
}