Vinay0905/Fish-Detection-YOLOv8
Welcome to the Fish-Detection-YOLOv8 repository! This project focuses on detecting fish species using the YOLOv8 object detection algorithm. It aims to provide accurate and efficient fish detection models for applications such as marine biology research and automated fishing systems.
This project helps marine biologists, environmental researchers, and fishing system operators automatically identify and count fish in images or video streams. It takes in visual data, such as underwater camera footage or still images, and outputs precise locations and classifications of various fish species. This is ideal for anyone needing to monitor fish populations or automate tasks in aquatic environments.
Use this if you need to accurately detect and classify fish species in real-time video or still images for research or operational purposes.
Not ideal if your primary goal is general object detection not specific to marine life, or if you require extremely low-light or highly turbid water detection without specialized input.
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Python
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Last pushed
Jan 16, 2026
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