Semantic Segmentation Courses and Certifications

Region Mutual Information Loss for Semantic Segmentation

Explore advanced techniques in semantic segmentation, including region mutual information loss, à trous convolutions, and multi-scale features for improved image analysis and understanding.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Andreas Geiger

Segmenting and Tracking Every Pixel

Explore video panoptic segmentation with STEP datasets, focusing on real-world challenges in pixel-precise segmentation and tracking. Learn about new evaluation metrics and baseline methods.

• YouTube
• 34 minutes
• On-Demand
• Free Video

MITCBMM

Towards Machines that Perceive and Communicate

Explore cutting-edge research in visual scene understanding and grounded language processing, covering semantic segmentation, object detection, and image captioning advancements.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

DigitalSreeni

Labeling Images for Semantic Segmentation Using Label Studio

Learn to label images for semantic segmentation using Label Studio, covering installation, project setup, annotation, and exporting in this practical tutorial.

• YouTube
• 27 minutes
• On-Demand
• Free Video

DigitalSreeni

Semantic Segmentation of Aerial Imagery Using U-Net

Learn to preprocess aerial imagery, train U-net for semantic segmentation, and make predictions using Python, focusing on data preparation and model implementation for satellite image analysis.

• YouTube
• 42 minutes
• On-Demand
• Free Video

DigitalSreeni

Semantic Segmentation Made Easy - Using Segmentation Models Library

Learn to implement semantic segmentation using the Segmentation Models library, covering model types, backbones, data augmentation, preprocessing, and training on electron microscopy datasets.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Modern Computer Vision & Deep Learning with Python & PyTorch

139 ratings at Udemy

Computer Vision with Python using Deep Learning for Classification, Instance and Semantic Segmentation, Object Detection

• Udemy
• 10 hours 32 minutes
• On-Demand
• Paid Course

Computer Vision For iOS Developers Course

42 ratings at Udemy

Learn how to train Object Detection and Semantic Segmentation models for mobile, and integrate them into your app.

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Packt

Mastering Image Segmentation with PyTorch

Explore image segmentation with PyTorch, from basics to advanced techniques. Learn CNNs, semantic segmentation, and tackle real-world projects to master this crucial aspect of computer vision.

• Coursera
• 6 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

Image Processing With Python

1 review

The videos are created for students and researchers and people interested in image processing using python but with a basic python developer, user in mind.

• YouTube
• 1 day 8 hours
• On-Demand
• Free Video

When Computers Look at Art

Explore how AI and computer vision revolutionize art analysis, offering new insights into paintings' style, meaning, and historical context while addressing challenges in image understanding.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Introduction to Computer Vision - Part II - Lecture 2

Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Introduction to Adversarial Attacks in Machine Learning - Lecture 1

Introduction to adversarial attacks on AI systems, covering real-world examples, attack methods, and defense strategies for various applications like face recognition and object detection.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Instance Segmentation - Lecture 17

Explore instance segmentation techniques, including semantic segmentation, ROI pooling, and mask structures, for advanced computer vision applications.

• YouTube
• 43 minutes
• On-Demand
• Free Video

CAP5415 - Semantic Segmentation Part 1 - Lecture 17

Explore semantic segmentation techniques, including pretrained layers, skip connections, and upsampling methods for advanced image analysis and understanding.

• YouTube
• 48 minutes
• On-Demand
• Free Video