Fish detection using Open Images Dataset and Tensorflow Object Detection

Fish instance segmentation using Mask-RCNN

Fish detector using Deep learning - ResNet Model with ImageNet weights

AutoFiS: Automatic Identification of Fish Species

This code is a PyTorch implementation of ClassAwareLoss proposed in the "Class-aware fish species recognition using deep learning for an imbalanced dataset" paper. https://www.mdpi.com/1424-8220/22/21/8268

This project is a collaborative fog node-based fish detection system. It leverages fog computing to distribute image processing tasks across multiple clients and a server. The system is designed to detect fish in images and provide bounding box information using the Roboflow API.

🐠 With increasing interest in studying marine fauna behavior and conservation, this thesis focuses on developing machine learning algorithms for the detection, classification, and tracking of fish in underwater images. The goal is to provide insights into marine species' responses to environmental noise and support ecosystem preservation efforts.

Fish Identifier App using Flutter

This repository contains the code used to create the results and figures in our Machine learning based region of interest detection in airborne lidar fisheries surveys paper, which was published in the SPIE Journal of Applied Remote Sensing.

This project is a collaborative fog node-based fish detection system. It leverages fog computing to distribute image processing tasks across multiple clients and a server. The system is designed to detect fish in images and provide bounding box information using the Roboflow API.

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ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.