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Detect various marine species in an aquarium environment using MMDetection. This project builds and evaluates object detection models to accurately classify marine life forms like fish, jellyfish, and more. Leveraging the Aquarium Dataset from Roboflow, the project aims to enhance species identification with robust detection models.๐Ÿ‹

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PatilSusheel/marine_species_detection

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Marine Species Detection using MMDetection ๐ŸŸ

Project Overview

This project focuses on detecting various marine species in an aquarium environment using the MMDetection framework. The primary goal is to build and evaluate an object detection model that can accurately identify and classify different marine life forms such as fish ๐Ÿ , jellyfish ๐Ÿฆ‘, and more.

Dataset ๐Ÿ“Š

The dataset used is the Aquarium Dataset from Roboflow, formatted in COCO style. It includes images of marine species with corresponding bounding box annotations. You can access the dataset here.

Setup and Installation โš™๏ธ

To get started, clone the repository and install the necessary dependencies.

git clone https://github.com/PatilSusheel/marine_species_detection.git
cd marine_species_detection
pip install -r requirements.txt

About

Detect various marine species in an aquarium environment using MMDetection. This project builds and evaluates object detection models to accurately classify marine life forms like fish, jellyfish, and more. Leveraging the Aquarium Dataset from Roboflow, the project aims to enhance species identification with robust detection models.๐Ÿ‹

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