ArcGIS Tutorial
Comprehensive ArcGIS tutorial covering various GIS techniques, from basic operations to advanced analyses, including image processing, data extraction, and web mapping.
Computer Vision and Image Processing - Fundamentals and Applications
Comprehensive exploration of computer vision and image processing, covering fundamentals, techniques, and applications. Includes image formation, enhancement, segmentation, feature extraction, machine learning, and deep learning for visual data analysis.
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.
Introduction to Convolutional Neural Networks - Part I - Lecture 8
Introduction to convolutional neural networks, covering architecture, applications in computer vision and natural language processing, with examples like AlexNet and super-resolution techniques.
Computer Vision - Administrative and Course Overview - Lecture 1
Introduction to graduate-level computer vision, covering mathematical foundations, deep learning applications, and advanced topics like object detection and image segmentation.
How I Combined 3 Powerful AI Models to Automate Image Editing
Explore AI-driven image processing using Grounding DINO, SAM, and Stable Diffusion. Learn to detect, segment, and generate new images with step-by-step guidance on model integration and custom prompts.
Tensorflow Object Detection
Learn to set up and use TensorFlow Object Detection API with TensorFlow 2.0 on Windows, including custom object detection and real-time image segmentation from video streams.
Cutting Edge Deep Learning for Coders
Explore advanced deep learning techniques including object detection, NLP, neural translation, GANs, and image enhancement. Gain practical skills for cutting-edge AI applications.
UNet and BodyPix with ML5.js
Explore image segmentation and body detection using ml5.js. Learn to implement uNet and BodyPix for creative coding projects, with hands-on demonstrations and community contributions.
Random Walker Segmentation in Python
Explore Random Walker segmentation in Python for noisy BSE images, using markers and combining segments for effective alloy analysis.
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.
Breaking New Frontiers in Robotics and Edge Computing with AI
Explore cutting-edge AI deployment for robotics and edge computing, covering tools, techniques, and recent developments in deep learning and NVIDIA's Jetson platform.
Deep Internal Learning - Deep Learning with Zero Examples
Explore deep learning without external data, focusing on internal learning for tasks like super-resolution and image segmentation. Discover innovative approaches and their applications in various domains.
Lower Dimensional Topological Information: Theory and Applications
Explore lower dimensional topological features in data analysis, covering detection methods, theoretical foundations, and applications in image segmentation using topological and statistical approaches.
Computer Vision in Practice - Building an End-to-End Pipeline for Object Detection and Segmentation
Build an end-to-end image segmentation pipeline using deep learning. Learn dataset customization, model training, validation, testing, and mobile deployment techniques.
Semantic Segmentation in Satellite Imagery
Explore advanced techniques in deep learning for image segmentation and object detection, focusing on practical applications in autonomous driving.
Automated Reconstruction of Synaptic-Resolution Neural Wiring Diagrams
Explore automated reconstruction of neural wiring diagrams using advanced techniques like generative adversarial networks and crowdsourcing, with applications in connectomics and targeted brain data discovery.
FarmAI: Open Resources for Autonomous Farming
Explore open-source innovations in autonomous farming with FarmAI, leveraging advanced image segmentation models for agricultural revolution.
Understanding Meta AI's Segment Anything Model (SAM) - Architecture, Data Engine, and Results
Dive into Meta AI's Segment Anything Model (SAM), exploring its architecture, innovative data engine, and zero-shot transfer learning capabilities for advanced image segmentation tasks.
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.
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.