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#Image Segmentation

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ArcGIS Tutorial

1 rewiews
Comprehensive ArcGIS tutorial covering various GIS techniques, from basic operations to advanced analyses, including image processing, data extraction, and web mapping.
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78 Lesons
9 hours
On-Demand
Free-Video
NPTEL

Computer Vision and Image Processing - Fundamentals and Applications

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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.
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42 Lesons
1 day 13 hours
On-Demand
Free-Video
University of Central Florida

Image Segmentation Basics and Techniques - Lecture 23

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Explore image segmentation basics, including binarization, thresholding, and region-based techniques. Learn algorithms, visualization methods, and practical applications in computer vision.
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19 Lesons
1 hour 13 minutes
On-Demand
Free-Video
University of Central Florida

Introduction to Convolutional Neural Networks - Part I - Lecture 8

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Introduction to convolutional neural networks, covering architecture, applications in computer vision and natural language processing, with examples like AlexNet and super-resolution techniques.
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8 Lesons
21 minutes
On-Demand
Free-Video
University of Central Florida

Computer Vision - Administrative and Course Overview - Lecture 1

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Introduction to graduate-level computer vision, covering mathematical foundations, deep learning applications, and advanced topics like object detection and image segmentation.
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11 Lesons
32 minutes
On-Demand
Free-Video
Eran Feit

How I Combined 3 Powerful AI Models to Automate Image Editing

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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.
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1 Lesons
26 minutes
On-Demand
Free-Video

Tensorflow Object Detection

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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.
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9 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Jeremy Howard

Cutting Edge Deep Learning for Coders

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Explore advanced deep learning techniques including object detection, NLP, neural translation, GANs, and image enhancement. Gain practical skills for cutting-edge AI applications.
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7 Lesons
15 hours
On-Demand
Free-Video
Coding Train

UNet and BodyPix with ML5.js

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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.
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14 Lesons
2 hours 27 minutes
On-Demand
Free-Video
DigitalSreeni

Random Walker Segmentation in Python

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Explore Random Walker segmentation in Python for noisy BSE images, using markers and combining segments for effective alloy analysis.
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6 Lesons
27 minutes
On-Demand
Free-Video
DigitalSreeni

Histogram Based Image Segmentation in Python

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Learn histogram-based image segmentation in Python for microscopy, covering thresholding techniques, feature extraction, and basic image processing operations to clean segmented regions.
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6 Lesons
24 minutes
On-Demand
Free-Video
Nvidia

Breaking New Frontiers in Robotics and Edge Computing with AI

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Explore cutting-edge AI deployment for robotics and edge computing, covering tools, techniques, and recent developments in deep learning and NVIDIA's Jetson platform.
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45 Lesons
56 minutes
On-Demand
Free-Video
Simons Institute

Deep Internal Learning - Deep Learning with Zero Examples

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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.
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16 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Lower Dimensional Topological Information: Theory and Applications

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Explore lower dimensional topological features in data analysis, covering detection methods, theoretical foundations, and applications in image segmentation using topological and statistical approaches.
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14 Lesons
51 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Computer Vision in Practice - Building an End-to-End Pipeline for Object Detection and Segmentation

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Build an end-to-end image segmentation pipeline using deep learning. Learn dataset customization, model training, validation, testing, and mobile deployment techniques.
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1 Lesons
2 hours 15 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Semantic Segmentation in Satellite Imagery

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Explore advanced techniques in deep learning for image segmentation and object detection, focusing on practical applications in autonomous driving.
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1 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Automated Reconstruction of Synaptic-Resolution Neural Wiring Diagrams

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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.
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19 Lesons
1 hour 18 minutes
On-Demand
Free-Video
DevConf

FarmAI: Open Resources for Autonomous Farming

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Explore open-source innovations in autonomous farming with FarmAI, leveraging advanced image segmentation models for agricultural revolution.
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1 Lesons
36 minutes
On-Demand
Free-Video
AI Bites

Understanding Meta AI's Segment Anything Model (SAM) - Architecture, Data Engine, and Results

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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.
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8 Lesons
16 minutes
On-Demand
Free-Video
Discover AI

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

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Dive into advanced image segmentation using Mask2Former architecture, exploring masked attention and universal segmentation techniques for enhanced computer vision applications.
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1 Lesons
16 minutes
On-Demand
Free-Video
Discover AI

Panoptic Image Segmentation - Understanding Mask2Former

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Dive into Mask2Former's universal approach to image segmentation, covering instance, semantic, and panoptic segmentation techniques with practical examples and implementations.
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4 Lesons
12 minutes
On-Demand
Free-Video
Eran Feit

Res-UNet for Melanoma Segmentation - TensorFlow Tutorial

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Step-by-step guide to implement and train a Res-UNet model for Melanoma detection using TensorFlow and Keras. Learn to build, train, test, and visualize results for accurate skin lesion segmentation.
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5 Lesons
31 minutes
On-Demand
Free-Video
GAIA

Unlocking Hearts by Locking Models: Solving Echocardiogram Problems Using a Self-Supervised Approach

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Explore self-supervised learning for echocardiogram analysis, overcoming labeling challenges. Discover how ALAN concept enables feature extraction for segmentation and classification tasks across multiple datasets.
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1 Lesons
20 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Learning Visual Representations with Limited Labels for Semantic Image Understanding

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Explore visual representation learning techniques using limited labels, including self-supervised methods, image grouping, model distillation, and adversarial robustness in deep learning.
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10 Lesons
54 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

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Explore a unified neural model for diverse AI tasks, including computer vision, image synthesis, and NLP. Learn about its innovative approach to homogenizing inputs and outputs across multiple domains.
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19 Lesons
49 minutes
On-Demand
Free-Video
Aladdin Persson

PyTorch Image Segmentation Tutorial with U-NET - Everything From Scratch

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Learn to implement U-NET for image segmentation from scratch, covering model architecture, dataset preparation, training process, and evaluation techniques in PyTorch.
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6 Lesons
52 minutes
On-Demand
Free-Video
Pysource

Train Mask R-CNN for Image Segmentation

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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.
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5 Lesons
34 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

ConvNeXt- A ConvNet for the 2020s - Paper Explained

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Explore ConvNeXt, a modern ConvNet outperforming vision transformers in computer vision tasks. Learn about its design, training, and performance across various applications.
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10 Lesons
40 minutes
On-Demand
Free-Video
Nicholas Renotte

Body Segmentation with Python and Tensorflow BodyPix - AI Background Removal

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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.
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11 Lesons
35 minutes
On-Demand
Free-Video
Launchpad

Reinforced Active Learning for Image Segmentation

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Explore advanced techniques for image segmentation using reinforced active learning, covering challenges, algorithms, and experimental results.
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18 Lesons
24 minutes
On-Demand
Free-Video
Runway

Image Segmentation Models in Runway - Introduction and Overview

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Explore various image and video segmentation models in Runway, learning techniques like masking, Yolac, Mascara, and Bassnet for instant and effective visual content manipulation.
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12 Lesons
16 minutes
On-Demand
Free-Video
Eran Feit

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

0 rewiews
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.
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6 Lesons
54 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

IEEE International Conference on Image Processing 2022 - Poster Session

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Explore cutting-edge research in image processing through poster presentations from the IEEE International Conference on Image Processing (ICIP) 2022.
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1 Lesons
2 hours 17 minutes
On-Demand
Free-Video
Eran Feit

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

0 rewiews
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.
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6 Lesons
39 minutes
On-Demand
Free-Video
Shashank Kalanithi

Hands on Machine Learning - Unsupervised Learning

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Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.
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15 Lesons
58 minutes
On-Demand
Free-Video
kasukanra

Stable Diffusion- Applying ControlNet to Character Design - Part 1

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Comprehensive tutorial on using ControlNet for character design in Stable Diffusion, covering pose creation, 3D modeling, image generation, and advanced editing techniques for realistic digital art.
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63 Lesons
2 hours 29 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

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

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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.
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1 Lesons
49 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

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

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Exploring variational models as layers in deep neural networks for image segmentation, integrating traditional techniques with DNNs to improve performance and incorporate shape priors.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Australian Water School

AI Tools for Modeling Innovation in Water Resources

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Explore AI tools for enhancing productivity in modeling workflows, including image segmentation, large language models, and data analysis techniques. Learn from experts about innovative applications in flood modeling and terrain analysis.
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10 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Eran Feit

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

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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.
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5 Lesons
26 minutes
On-Demand
Free-Video
Eran Feit

Medical Melanoma Detection - TensorFlow U-Net Tutorial

0 rewiews
Step-by-step guide to implementing a U-Net model for melanoma detection using TensorFlow/Keras, covering data preparation, augmentation, model building, training, testing, and result visualization.
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6 Lesons
45 minutes
On-Demand
Free-Video
Wolfram

What's New in Wolfram Image and Audio Processing - Recent Developments and Applications

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Explore cutting-edge AI advancements in image and signal processing, including segmentation, OCR, and speech technologies, with powerful neural network applications.
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9 Lesons
27 minutes
On-Demand
Free-Video
Strange Loop Conference

Can Androids Conceive of Electric Sheep

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Explore the journey of creating an android artist, delving into biomechanics, cognition, creativity, and insight simulation. Discover novel applications and thought-provoking questions about artificial artistic expression.
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14 Lesons
42 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Learning Robust Imaging Models without Paired Data

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Explore robust imaging models using Bayesian inference and deep learning without paired data. Learn techniques for image denoising, segmentation, and unpaired degradation modeling in practical applications.
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33 Lesons
56 minutes
On-Demand
Free-Video
EuroPython Conference

Corona-Net

0 rewiews
Explore Corona-Net: an open-source project for COVID-19 diagnosis and symptom segmentation using deep learning models like EfficientNet and U-Net on CT scans.
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8 Lesons
23 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Honey Bee Conservation Using Deep Learning

0 rewiews
Explore DeepBee: an innovative tool using deep learning for automatic honeybee colony assessment, streamlining the process of counting and classifying comb cells for beekeepers.
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1 Lesons
44 minutes
On-Demand
Free-Video
NDC Conferences

What and Where? - Machine Learning for Geospatial Image Analysis

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Explore machine learning techniques for geospatial image analysis, extracting valuable geographical information from aerial and satellite imagery using deep learning and convolutional neural networks.
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1 Lesons
33 minutes
On-Demand
Free-Video
Conference GSI

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

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Explore an innovative attention mechanism for robust image segmentation using Chan Vese Attention U-Net, enhancing segmentation accuracy and efficiency.
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1 Lesons
20 minutes
On-Demand
Free-Video
SK AI SUMMIT 2024

AI-Based Wafer Defect Detection Using Anomaly Detection - Real-Time Implementation

0 rewiews
Discover advanced AI techniques for real-time wafer defect detection through unsupervised and semi-supervised learning, focusing on anomaly detection and segmentation in industrial manufacturing environments.
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1 Lesons
20 minutes
On-Demand
Free-Video
Snorkel AI

Improving Data and Modeling for Computer Vision Applications

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Explore advancements in computer vision for data-centric image classification. Learn about visual prompts, parameter-efficient models, and adapting representations for improved performance and efficiency.
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1 Lesons
28 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Mid-Level Vision - Lecture 2

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Explore advanced concepts in mid-level computer vision, building on foundational knowledge to enhance understanding of visual perception and processing techniques.
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1 Lesons
17 minutes
On-Demand
Free-Video
Launchpad

UnSAM - Unsupervised Segmentation Anything Model: A New Approach to Image Segmentation

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Discover UnSAM: a groundbreaking unsupervised image segmentation model. Learn its divide-and-conquer approach, hierarchical structure discovery, and impressive performance across datasets.
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1 Lesons
11 minutes
On-Demand
Free-Video
Sam Witteveen

Unveiling Meta's Impressive CV Model - SAM 2: Segment Anything in Images and Videos

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Explore Meta's advanced CV model SAM 2, featuring unified architecture for image and video segmentation. Learn its capabilities through demos and code samples for enhanced visual understanding.
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8 Lesons
12 minutes
On-Demand
Free-Video
Roboflow

Advanced Computer Vision Workflows with Foundation and Custom Models

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Build computer vision applications by combining foundation models like Segment Anything 2 with custom trained models like YOLOv8, using Roboflow Workflows for efficient and powerful image processing pipelines.
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1 Lesons
11 minutes
On-Demand
Free-Video
DigitalSreeni

3D U-Net for Semantic Segmentation

0 rewiews
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.
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25 Lesons
50 minutes
On-Demand
Free-Video
DigitalSreeni

Improving Semantic Segmentation - U-Net Performance via Ensemble of Multiple Trained Networks

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Enhance U-Net performance for semantic segmentation using ensemble methods with ResNet34, Inception V3, and VGG16 networks. Includes code, dataset, and practical implementation tips.
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18 Lesons
30 minutes
On-Demand
Free-Video
Devoxx

Deep Learning in Computer Vision

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Explore deep learning in computer vision, from basic concepts to advanced architectures. Learn to design networks that understand images, with practical examples and expert insights.
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19 Lesons
47 minutes
On-Demand
Free-Video
DevConf

Overview of Image Segmentation with AI

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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.
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1 Lesons
34 minutes
On-Demand
Free-Video
Code With Aarohi

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

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Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.
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1 Lesons
32 minutes
On-Demand
Free-Video
Data Science Conference

Leaf Tracking, Counting and Occlusion in Plants Using Artificial Neural Networks

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Discover how to implement artificial neural networks for plant leaf analysis, including tracking, counting, and handling occlusion through advanced image processing techniques.
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29 Lesons
1 hour 41 minutes
On-Demand
Free-Video
Unify

Segment Anything Model (SAM) Explained

0 rewiews
Explore SAM, a versatile image segmentation model by Meta AI. Learn about its multitask capabilities, zero-shot transferability, and applications across various scenes and objects.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Centrum Fizyki Teoretycznej PAN

Machine Vision vs Deep Learning in Cancer Detection

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Explore machine vision and deep learning applications in cancer diagnosis, comparing their strengths and limitations. Gain insights into innovative computer-aided methods for analyzing microscopic images of breast cancer tissue.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Trelis Research

Object and Bounding Box Detection with Vision Models Using Florence 2

0 rewiews
Master object detection and bounding box techniques using Florence 2 vision models, from basic architecture to custom dataset annotation and fine-tuning with LoRA adapters for optimal performance.
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11 Lesons
51 minutes
On-Demand
Free-Video
Yacine Mahdid

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

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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.
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12 Lesons
45 minutes
On-Demand
Free-Video