Fishial.AI

open_source

Fishial.AI uses open-source artificial intelligence and computer vision to identify fish species worldwide. Free mobile app, developer API, and the world's largest labeled fish image dataset.

AI Models & Infrastructure

Research & Education

AI Research Tools

About

Fishial.AI is an open-source, AI-powered fish species identification platform built to make fish recognition accessible to everyone — from curious kids and educators to professional fisheries managers and marine researchers. The project, sponsored by The Wye Foundation, has assembled a dataset of over 2.6 million fish images, curated 175,000 labeled images, and trained a model capable of identifying 640 fish species worldwide. At its core, Fishial.AI offers a computer vision AI model that can identify fish by species name from a photo. This model is open-source and freely available for commercial and non-commercial use. Developers can access fish identification capabilities through a versatile SaaS API, making it easy to embed fish ID features into apps, websites, and research platforms. The platform also includes a citizen science web portal where community contributors can collect and label fish images, expanding and improving the dataset over time. A free mobile app brings fish identification to anglers and students in the field, serving as an engaging educational tool for learning about aquatic biodiversity. Fishial.AI is ideal for fishing enthusiasts, biology students, environmental organizations, app developers, and fisheries management professionals who need reliable, scalable fish identification capabilities. Its open-source model and public datasets foster global collaboration around aquatic research and conservation.

Key Features

AI Fish Species Identification: Computer vision model that identifies 640+ fish species worldwide from photos with high accuracy.
Open-Source AI Model & Dataset: Freely available labeled fish image dataset (2.6M+ images) and AI model for commercial and non-commercial machine learning use.
Developer SaaS API: A versatile REST API that allows developers to integrate fish identification capabilities into their own apps and platforms.
Free Mobile App: A mobile application for real-time fish identification in the field, designed for anglers, students, and educators.
Citizen Science Portal: A web portal enabling global volunteers to collect, upload, and label fish images to continuously improve the AI model and dataset.

Use Cases

Anglers using the mobile app to instantly identify fish caught in the wild for educational or record-keeping purposes.
Marine biology students and educators leveraging the free app and dataset to learn about and teach aquatic biodiversity.
App developers integrating the Fishial.AI API to add fish identification features to fishing, nature, or conservation apps.
Environmental organizations and fisheries management professionals using the AI model to support species monitoring and conservation programs.
Machine learning researchers accessing the open-source labeled fish image dataset to train, benchmark, or fine-tune computer vision models.

Pros

Completely Free & Open Source: The AI model, datasets, and mobile app are all free to use, making fish identification accessible to individuals and organizations of any size.
World's Largest Labeled Fish Dataset: With over 175,000 curated, species-labeled images, the dataset is unparalleled in scope and useful for researchers and ML developers.
Developer-Friendly API: The SaaS API makes it straightforward to embed fish identification into third-party applications, broadening its ecosystem.
Community-Driven & Conservation-Focused: Built around citizen science and conservation, the platform grows more accurate over time through global community contributions.

Cons

Limited to 640 Species: While the dataset is large, the model currently identifies 640 species out of 33,000+ known worldwide, limiting coverage for rare or exotic fish.
Dependent on Image Quality: Like most computer vision tools, identification accuracy can degrade with blurry, poorly lit, or obstructed photos.
Early-Stage Platform: As an ongoing open-source project, some features like the CMS portal and full API documentation may still be maturing.

Frequently Asked Questions

Fishial.AI is an open-source AI project that uses computer vision to identify fish species from photos. It provides a free mobile app, a developer API, and a large labeled fish image dataset for machine learning research and conservation.

The current AI model can identify 640 fish species. The project is continuously expanding its dataset toward broader global species coverage.

Yes, Fishial.AI is free and open-source. The mobile app, AI model, and datasets are available at no cost for both commercial and non-commercial use.

Yes, Fishial.AI offers a SaaS developer API that allows third-party developers to embed fish identification capabilities directly into their own apps, websites, or research platforms.

You can contribute by volunteering through the citizen science web portal to collect and label fish images, donating to the project, or partnering as an organization to help expand the dataset.