Pollen Detection using Computer Vision

A computer vision project for detecting pollen on bees using YOLOv8 object detection model, deployed via a Flask web application.

📋 Project Overview

This project implements an automated pollen detection system that can:

• Detect pollen particles on bees in images and videos
• Count the number of pollen occurrences
• Provide real-time analysis through a web interface
• Help in bee health monitoring and pollination studies

✨ Features

• YOLOv8 Model: Custom-trained object detection model specifically for pollen detection
• Web Interface: User-friendly Flask web application
• Multiple Input Formats: Support for both images and videos
• Real-time Counting: Automated pollen occurrence counting
• REST API: Easy integration with other applications

Training Results

DEMO