Eran Feit Courses

Object Detection Using Detection Transformer (DETR) for Bone Fracture Dataset

Learn to build an advanced object detection system using DETR, covering data preparation, model implementation, training, and inference with PyTorch, Transformers, and PyTorch Lightning.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Instance Segmentation with Detectron2 - Custom Dataset Training and Testing

Learn to build and train a custom Detectron2 model for instance segmentation on your own dataset, covering annotation, training on Windows and Linux, and testing on new images.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Train Your Own Object Detector with Detectron2

Learn to build a custom object detector using Detectron2. Step-by-step guide covers dataset preparation, model training, and making predictions on new images. Ideal for beginners in deep learning and computer vision.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Create AI Images with Your Face Using Photomaker - Free and Easy Tutorial

Explore Photomaker to generate AI images featuring your face. Learn installation, Python libraries, and text-prompt techniques for creating personalized, stunning photos effortlessly.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Automatic Image Captioning with Vision Transformer and GPT-2

Generate descriptive captions for images using Python, PyTorch, and Hugging Face's pre-trained 'nlpconnect/vit-gpt2-image-captioning' model. Learn to process images with ViT and generate text with GPT-2.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Free Subtitle Generator - The Fastest Way to Create Subtitles

Generate automatic subtitles for audio and video using Faster-whisper, a faster implementation of OpenAI's Whisper model. Learn to transcribe, create SRT files, and translate subtitles to multiple languages.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Remove Objects from Images Like Magic - Step-by-Step Guide

Learn to remove objects from images using Inpainter, combining semantic segmentation and EdgeConnect. Master installation, single and multiple object removal for photo editing and data augmentation.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

FaceFusion Face Swap Tutorial - Installation and Usage for Images and Videos

Learn to swap faces in images and videos using FaceFusion. Master environment setup, Python libraries installation, and hands-on face swapping techniques for both static and dynamic media.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Video Segmentation Using SAM2 and Python - Complete Tutorial

Master video segmentation with SAM2 and Python through hands-on coding. Build a complete pipeline from frame extraction to mask visualization using point-based prompts and model propagation.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Build Your Own Dataset with Diffusers

Master synthetic dataset creation using Hugging Face Diffusers and Stable Diffusion to generate high-quality labeled images for machine learning training without scraping.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

How to Train Xception for Image Classification

Master Xception architecture for ship image classification with data preprocessing, model training, evaluation, and deployment techniques in this hands-on tutorial.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

How to Build Image Classifier with MediaPipe

Master building AI-powered image classifiers using MediaPipe, OpenCV, and TensorFlow Lite's EfficientNet for fast, accurate visual recognition in Python.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Knee Osteoarthritis Detection and Classification using ResNet

Master ResNet152V2 for knee osteoarthritis detection using TensorFlow and Keras, covering data preprocessing, model training with callbacks, and evaluation with confusion matrices.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

How to Use Keras Hub for Image Classification

Master image classification with Keras Hub and Python through hands-on implementation of pretrained ResNet models, prediction decoding, and result visualization techniques.

• YouTube
• 11 minutes
• Self-Paced
• Free Video