Fish instance segmentation using Mask-RCNN

A Large-Scale Dataset for Fish Segmentation and Classification

Klasifikasi Ikan Cakalang dan Tongkol Menggunakan Convolutional Neural Network

Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol

A fish species classifier based on ResNet50.

This is a machine learning model to classify 20 fish species, and it is also able to distinguish between fish and non-fish. I utilized Python, Keras and TensorFlow in development. Data preprocessing, supervised learning techniques, and MobileNet were also employed.

This mobile application is developed as part of our final research project. Its primary function is to classify images of fish commonly found in the Philippines. Users can either take real-time photographs or upload images from their gallery for classification.

A Flutter mobile and web application for AI-powered fish species classification using deep learning.

AI-powered fish species classification api using deep learning with EfficientNet-B0.

A Large-Scale Dataset for Fish Segmentation and Classification Using Deep Learning Algorithms

The Nature Conservancy Fisheries Monitoring

Multi-stage underwater image enhancement and fish classification using deep learning.