Computer Vision Hands On | Full Course | iNeuron

Welcome back to a brand-new series, "Master Computer Vision: From Image Classification to Object Tracking"! 🌟 Embark on an exciting journey where we'll delve deep into the world of computer vision, tackling various tasks from image classification to object tracking using cutting-edge concepts. Whether you're a beginner or an experienced practitioner, this series is designed to help you unlock the power of computer vision and master the techniques that are shaping the industry! In this hands-on session, we explore practical implementations using TensorFlow and PyTorch. You'll learn about image classification, object detection, image segmentation, and object tracking. We'll also dive into frameworks and tools used in the industry today, ensuring you gain real-world skills. Are you ready to practice coding alongside us? Make sure to enroll in our course – it's completely free! Get access to all resources, materials, assignments, quizzes, and more. It's your chance to enhance your AI education and become proficient in technologies like CNN, VGG16, ResNet, MobileNet, and more. Join our community and stay updated with regular sessions. Don't forget to subscribe to our channel and share this video with friends and family. Let's unlock the future of computer vision together! 🚀 #ComputerVision #ImageClassification #ObjectTracking #TensorFlow #PyTorch #AIeducation #OpenAI #Langchain #Streamlit #GenerativeAI #ARIMAModels #TimeSeriesForecasting CHAPTERS: 0:00 - Introduction 10:40 - Object Tracking 19:56 - Creating a Google Colab 32:50 - Uploading Data to Google Drive 50:30 - Importing the Libraries 1:02:04 - Image Preprocessing and Data Transformation 1:21:14 - Saving and Loading the Model 1:39:14 - How to install PyTorch 1:58:45 - Setting the Device for our Tensors 2:10:16 - Writing Training Loop 2:48:41 - Data Annotation 3:10:24 - Downloading Custom Data 3:52:13 - YOLOv6 Benchmark 4:20:36 - Downloading Pretrained YOLOv6 Model 4:54:52 - Application of YOLO V7 5:31:11 - Training the Custom YOLOv7 Model 6:01:06 - Downloading Data 6:49:31 - What is Detectron2 7:02:03 - How to get a job in Data Science 7:51:26 - Data Preparation 8:52:07 - Starting Custom Training for Segmentation Task 9:50:02 - How to run the code 10:46:36 - End of Sessio