Image Segmentation Courses and Certifications

Fundamentals of Digital Image and Video Processing

5 reviews

Learn to process digital images and videos using mathematical frameworks and state-of-the-art techniques. Covers enhancement, recovery, compression, and segmentation, with emphasis on practical applications and modern tools.

• Coursera
• 36 hours
• On-Demand
• Paid Course

Python for Computer Vision with OpenCV and Deep Learning

13142 ratings at Udemy

Learn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!

• Udemy
• 14 hours 5 minutes
• On-Demand
• Paid Course

Pysource

Train Mask R-CNN for Image Segmentation

Learn to train and implement Mask R-CNN for image segmentation using free online GPU resources. Covers dataset preparation, model training, and practical application for object detection and segmentation.

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

Biomedical Image Analysis in Python

12 ratings at DataCamp

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Deep Learning in Python

Continue your machine learning journey into deep learning. Use the PyTorch library to create neural networks to model different data types.

• DataCamp
• 18 hours
• On-Demand
• Free Trial Available

Deep Learning for Images with PyTorch

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Multi-Modal Models with Hugging Face

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Institute for Pure & Applied Mathematics (IPAM)

Deep Learning and Shape Modelling for Medical Image Reconstruction, Segmentation and Analysis

Explores deep learning techniques for MR image processing, incorporating anatomical shape information as prior knowledge to enhance reconstruction, super-resolution, and segmentation in medical imaging applications.

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

Code With Aarohi

Segment Anything Model 2 (SAM 2) - Advanced Image and Video Segmentation

Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.

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

Yacine Mahdid

Segment Anything Model (SAM) - Deep Dive into Meta's Image Segmentation Foundation Model

Dive into Meta's Segment Anything Model (SAM), exploring its architecture, implementation, and zero-shot capabilities for advanced image segmentation tasks through detailed code analysis and practical demonstrations.

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

Image Segmentation Basics and Techniques - Lecture 23

Explore image segmentation basics, including binarization, thresholding, and region-based techniques. Learn algorithms, visualization methods, and practical applications in computer vision.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Eran Feit

Flood Detection with YOLO V8 Segmentation - One-Class Image Segmentation

Learn to detect floods using Yolo V8 image segmentation. Covers dataset preparation, model training, and testing on new images to generate segmentation masks highlighting flooded areas.

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

Eran Feit

Highlight Any Object in an Image Using MediaPipe Segmentation

Master interactive image segmentation with Python, MediaPipe, and OpenCV to detect and highlight objects in images using Google's DeepLabV3 model, custom color overlays, and segmentation masks for computer vision applications.

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

Eran Feit

Image Segmentation Using MediaPipe DeepLabV3

Master image segmentation with MediaPipe's DeepLabV3 model to separate foreground from background and apply effects like background blurring using Python, OpenCV, and NumPy.

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

Coursera

Aerial Image Segmentation with PyTorch

32 ratings at Coursera

Learn to segment aerial images using PyTorch, including dataset preparation, augmentation, model training with UNet, and inference on the Massachusetts Roads dataset.

• Coursera
• 2 hours 4 minutes
• On-Demand
• Paid Course