Measure Fish Size using Computer Vision

This blog post by Timothy M. describes the process of building a computer vision project aimed at identifying, classifying, and measuring fish size in images to support sustainable fisheries management. The project uses a computer vision model trained with images labeled using the Roboflow Fish Dataset to detect fish species and sizes. The approach aids in monitoring fish growth, optimizing feeding schedules, and ensuring compliance with legal size limits to prevent overfishing. The process involves preparing a dataset, training an object detection model, and building an application using Gradio, which allows users to upload images and detect fish sizes with adjustable confidence and IoU thresholds. The application enhances fisheries management by enabling real-time monitoring and analysis of fish populations, thus contributing to sustainable fishing practices.