Table of Contents Train YOLO26 on a Custom Dataset with YOLOE-26 Auto-Labeling Auto-Labeling a Custom Dataset for YOLO26 Object Detection Configuring Your Development Environment Project Structure Step 1: Define Custom Object Classes and Reference Images Step 2: Draw Visual Prompt…

Table of Contents YOLO26 Open-Vocabulary Object Detection with YOLOE-26 Understanding Closed-Set YOLO Object Detection Where YOLO Fits Among Object Detection Models Why Open-Vocabulary and Zero-Shot Object Detection Matter What YOLOE Introduced How YOLOE-26 Extends Open-Vocabulary Detection to YOLO26 How the…

Table of Contents Building Multimodal AI Applications with Gemma 4 and Transformers Configuring Your Development Environment Installing Python Dependencies and Importing Gemma 4 Multimodal Libraries Loading the Gemma 4 Multimodal Model with Hugging Face Transformers Screenshot-to-Code Generation with Gemma 4…

Table of Contents Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen Why Agentic AI Outperforms Traditional Vision Pipelines Why Agentic AI Improves Computer Vision and Segmentation Tasks What We Will Build: An Agentic AI Vision and Segmentation…

Table of Contents SAM 3 for Video: Concept-Aware Segmentation and Object Tracking Configuring Your Development Environment Setup and Imports Text-Prompt Video Tracking Load the SAM3 Video Model Helper Function: Visualizing Video Segmentation Masks, Bounding Boxes, and Tracking IDs Main Pipeline:…

Table of Contents Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation Configuring Your Development Environment Setup and Imports Loading the SAM 3 Model Downloading a Few Images Multi-Text Prompts on a Single Image Batched Inference Using Multiple Text Prompts Across…

Table of Contents SAM 3: Concept-Based Visual Understanding and Segmentation The Evolution of Segment Anything: From Geometry to Concepts Core Model Architecture and Technical Components The Perception Encoder (PE) and Vision Backbone The Open-Vocabulary Text and Exemplar Encoders The DETR-Based…

Table of Contents Grounded SAM 2: From Open-Set Detection to Segmentation and Tracking Why Segmentation Matters (Beyond Bounding Boxes) Introducing Grounded SAM 2 Where SAM Fits in the Pipeline Why SAM 2 (and not SAM) How Grounded SAM 2 Works…

Table of Contents Grounding DINO: Open Vocabulary Object Detection on Videos Why Language Makes Open-Set Detection Possible GLIP: Grounded Language-Image Pre-Training The DINO Detector (Closed-Set DETR) Grounding DINO Architecture Feature Enhancer (Neck Fusion) and Cross-Attention: The Teacher’s Guidance Language-Guided Query…