Fish Detection and Dataset Development

Published: March 01, 2026
Tools: Python, YOLO, Computer Vision

Overview

Collecting and curating a real-world fish image dataset for object detection tasks, focusing on species identification in natural and challenging environments.

Key Contributions

• Collecting and curating a real-world fish image dataset for detection tasks.
• Building object detection models for species identification using YOLO.
• Designing annotation and preprocessing pipelines for dataset scalability.
• Managing occlusion, noise, and class imbalance in real aquatic environments.