Image Segmentation Courses and Certifications

Nicholas Renotte

Body Segmentation with Python and Tensorflow BodyPix - AI Background Removal

Learn to create AI-powered virtual backgrounds using Python, OpenCV, and BodyPix. Segment your body in real-time, remove backgrounds, and apply custom virtual backgrounds without a green screen.

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

Runway

Image Segmentation Models in Runway - Introduction and Overview

Explore various image and video segmentation models in Runway, learning techniques like masking, Yolac, Mascara, and Bassnet for instant and effective visual content manipulation.

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

DigitalSreeni

3D U-Net for Semantic Segmentation

Learn to implement 3D U-Net for semantic segmentation on volumetric data like FIB-SEM, CT, and MRI. Covers data preparation, model architecture, training, and multichannel image processing using Python libraries.

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

DigitalSreeni

Random Walker Segmentation in Python

Explore Random Walker segmentation in Python for noisy BSE images, using markers and combining segments for effective alloy analysis.

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

DigitalSreeni

Histogram Based Image Segmentation in Python

Learn histogram-based image segmentation in Python for microscopy, covering thresholding techniques, feature extraction, and basic image processing operations to clean segmented regions.

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

Society for Industrial and Applied Mathematics

The Softmax Function, Potts Model and Variational Neural Networks in Image Segmentation

Exploring variational models as layers in deep neural networks for image segmentation, integrating traditional techniques with DNNs to improve performance and incorporate shape priors.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Eran Feit

U-Net Person Segmentation - How to Segment Persons in Images

Learn to implement and train a U-Net model for person segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.

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

Eran Feit

Creating an Animal Segmentation Model with U-Net and TensorFlow Keras

Learn to implement and train a U-Net model for animal segmentation using TensorFlow/Keras. Covers data preprocessing, model architecture, training, and evaluation with practical code examples.

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

Discover AI

Code Panoptic Image Segmentation with Vision Transformer and Mask2Former - A PyTorch Tutorial

Dive into advanced image segmentation using Mask2Former architecture, exploring masked attention and universal segmentation techniques for enhanced computer vision applications.

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

Discover AI

Panoptic Image Segmentation - Understanding Mask2Former

Dive into Mask2Former's universal approach to image segmentation, covering instance, semantic, and panoptic segmentation techniques with practical examples and implementations.

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

Image Segmentation

Many of the millions of digital images we're generating need interpretation, but there aren't enough human eyes for the task. This course will teach you how to use Python libraries and deep learning models to automate image segmentation.

• Pluralsight
• 33 minutes
• On-Demand
• Free Trial Available

DevConf

Overview of Image Segmentation with AI

Explore AI-powered image segmentation techniques, from basic concepts to advanced deep learning structures, and learn steps to create effective models for object identification and edge detection.

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

Conference GSI

Chan Vese Attention U-Net - An Attention Mechanism for Robust Segmentation

Explore an innovative attention mechanism for robust image segmentation using Chan Vese Attention U-Net, enhancing segmentation accuracy and efficiency.

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

Roboflow

Fine-Tuning SAM-2.1 for Image Segmentation

Master image segmentation techniques using SAM-2.1, Meta's advanced model, through hands-on fine-tuning and practical implementation for enhanced computer vision capabilities.

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

Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

7 reviews

Explore digital imaging from camera technology to Hollywood special effects and Mars Rover photography. Learn algorithms for image adjustment, compression, segmentation, and medical applications. Optional MATLAB exercises included.

• Coursera
• 21 hours
• On-Demand
• Free Online Course (Audit)