🔥 Master Vision Transformers with 65+ MCQs! 🔥

Are you preparing for AI interviews or want to test your knowledge in Vision Transformers (ViT)?

🧠 Dive into 65+ curated Multiple Choice Questions covering the fundamentals, architecture, training, and applications of ViT — all with answers!

🌐 Explore Now: https://hackmd.io/@husseinsheikho/vit-mcq

🔹 Table of Contents
Basic Concepts (Q1–Q15)
Architecture & Components (Q16–Q30)
Attention & Transformers (Q31–Q45)
Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

#VisionTransformer #ViT #DeepLearning #ComputerVision #Transformers #AI #MachineLearning #MCQ #InterviewPrep

✉️ Our Telegram channels: https://t.iss.one/addlist/0f6vfFbEMdAwODBk

📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨

📖 Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO

✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨

📖 Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO

✨ Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers ✨

📖 Table of Contents Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers Configuring Your Development Environment Problem Statement How Does Super-Resolution Solve This? State-of-the-Art Approaches Generative Adversarial Networks (GANs) Diffusion Models Implementing Diffus...

🏷️ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #Tutorial

✨ Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques ✨

📖 Table of Contents Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? What Is Super-Resolution? Usual Problems with Low-Resolution Imagery Traditional Computer Vision A...

🏷️ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial

✨ CycleGAN: Unpaired Image-to-Image Translation (Part 1) ✨

📖 Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 1) Introduction Unpaired Image Translation CycleGAN Pipeline and Training Loss Formulation Adversarial Loss Cycle Consistency Summary Citation Information CycleGAN: Unpaired Image-to-Image Translation (Part 1) In this tutorial, yo...

🏷️ #ComputerVision #CycleGAN #DeepLearning #Keras #KerasandTensorFlow #TensorFlow #UnpairedImageTranslation

✨ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset ✨

📖 Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO

✨ People Tracker with YOLOv12 and Centroid Tracker ✨

📖 Table of Contents People Tracker with YOLOv12 and Centroid Tracker Introduction Why People Tracker Monitoring Matters How YOLOv12 Enables Real-Time Applications Configuring Your Development Environment Downloading the Input Video Install gdown Download the Video Visualizing the Inference and Trackin...

🏷️ #ComputerVision #ObjectDetection #PeopleTracker #Tutorial #YOLOv12

✨ Meet BLIP: The Vision-Language Model Powering Image Captioning ✨

📖 Table of Contents Meet BLIP: The Vision-Language Model Powering Image Captioning What Is Image Captioning and Why Is It Challenging? Why It’s Challenging Why Traditional Vision Tasks Aren’t Enough Configuring Your Development Environment A Brief History of Image Captioning Models…...

🏷️ #ComputerVision #DeepLearning #ImageCaptioning #MultimodalAI #Tutorial