Fish instance segmentation using Mask-RCNN

A Large-Scale Dataset for Fish Segmentation and Classification

Klasifikasi Ikan Cakalang dan Tongkol Menggunakan Convolutional Neural Network

A fish species classifier based on ResNet50.

Aplikasi Berbasis Android untuk Mengklasifikasikan Spesies Ikan Cakalang dan Tongkol

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.

The Nature Conservancy Fisheries Monitoring

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

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