YoVDO

Honey Bee Conservation Using Deep Learning

Offered By: MLCon | Machine Learning Conference via YouTube

Tags

MLCon Courses Deep Learning Courses Image Classification Courses Image Processing Courses Image Segmentation Courses Model Selection Courses Neural Network Architecture Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the development of DeepBee, an innovative tool for automatic honeybee colony assessment, in this 44-minute conference talk from MLCon. Learn how deep learning techniques are revolutionizing bee conservation efforts by automating the traditionally laborious and error-prone task of counting and classifying comb cells. Discover the image classification pipeline that combines classical image processing methods with state-of-the-art Deep Neural Networks for image segmentation and classification. Follow the speakers' journey from image collection to final solution delivery, gaining insights into the comparison of 13 distinct DNN architectures and the selection process for the best model. Understand the challenges faced, mistakes made, and valuable lessons learned during the project's development at the Polytechnic Institute of Bragança. Gain a comprehensive understanding of how cutting-edge technology is being applied to support honey bee conservation and improve beekeeping practices.

Syllabus

Honey Bee Conservation using Deep Learning


Taught by

MLCon | Machine Learning Conference

Related Courses

الشبكات العصبية والتعلم العميق
DeepLearning.AI via Coursera
Machine Learning: Create a Neural Network that Predicts whether an Image is a Car or Airplane.
Coursera Project Network via Coursera
Neural Network Programming - Deep Learning with PyTorch
YouTube
Computer Vision with GluonCV (Traditional Chinese)
Amazon Web Services via AWS Skill Builder
Neuronales Netz von Scratch
Coursera Project Network via Coursera