Fisheries20 Computer Vision Project

Marilia

Updated a year ago

70

views

0

downloads
Description

Here are a few use cases for this project:

  1. Sustainable Fishing Practices: Fisheries20 can be used by fishery companies, environmental agencies, and marine biologists to track and monitor fish populations in real time, ensuring that overfishing is prevented and endangered species are protected.

  2. Aquaculture Monitoring: Fish farms can use this model to identify and count various fish species in their tanks or ponds, facilitating automated inventory management and assessment of overall fish health.

  3. Fish Species Identification App: Develop an app for fish enthusiasts and fishermen to help them identify fish species caught or spotted in the wild, aiding in catch-and-release practices and supporting biodiversity conservation efforts.

  4. Educational Tool for Marine Biology: Fisheries20 can serve as an interactive learning platform for students studying marine biology, as they can accurately identify and learn about different fish species using real-life images or live feeds from aquatic environments.

  5. Quality Control in Seafood Industry: The model can be implemented within the seafood processing industry to automatically classify and sort fish based on their species and size, increasing efficiency and reducing mislabeling, thus improving overall product quality.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            fisheries20_dataset,
                            title = { Fisheries20 Dataset },
                            type = { Open Source Dataset },
                            author = { Marilia },
                            howpublished = { \url{ https://universe.roboflow.com/marilia/fisheries20 } },
                            url = { https://universe.roboflow.com/marilia/fisheries20 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-09-27 },
                            }