Creating a Horse Race Detection Model using Deep Learning
Learn to create a horse race detection model using deep learning without a pre-existing dataset. Extract frames, automate annotations, train YOLOv8, and apply the model to videos for real-time object detection.
Deep Learning for Basketball Game Detection - YOLOv8 Object Detection Tutorial
Develop a custom YOLOv8 model for real-time basketball object detection, covering automatic labeling, model training, and live inference on game footage.
Dog Breed Detection using YOLOv8 and Deep Learning
Learn to build a YOLOv8-based dog breed detection system using deep learning. Master data preparation, model training, and making predictions with bounding boxes.
Efficient and Portable AI/LLM Inference on the Edge Cloud - Workshop
Explore efficient AI/LLM inference on edge cloud using WebAssembly. Learn to create lightweight, portable applications for media processing, vision, and language models, running at native speed across CPUs and GPUs.
Football AI Tutorial: From Basics to Advanced Stats with Python
Learn to build an AI system for advanced football analytics using computer vision and machine learning. Covers player tracking, team identification, and stats calculation like ball possession and speed.
AI for Everyone - First Attempt at Using MediaPipe for Gesture Detection
Explore hand gesture detection using MediaPipe and OpenCV. Learn to create distance matrices, calculate errors, and implement a basic gesture recognition algorithm in Python.
YOLOv3 From Scratch
Comprehensive tutorial on implementing YOLOv3 object detection algorithm from scratch using PyTorch, covering architecture, dataset loading, loss function, and training setup.
How to Build a Detectron2 Model with Roboflow and Paperspace Gradient
Learn to build a Detectron2 model using Roboflow for image preprocessing and Paperspace Gradient for GPU-backed training. Covers dataset access, image augmentation, and model development.
Efficient 3D Perception for Autonomous Vehicles
Explore cutting-edge techniques for efficient 3D perception in autonomous vehicles, including multi-sensor fusion, accelerated view transformation, and real-time performance on edge GPUs.
Learning Algorithms in Uncertainty and AI - Session 5
Explore cutting-edge research on cost-sensitive failure recognition, interpretable decision trees, and Bayesian active learning in AI. Gain insights into advanced learning algorithms and their applications.
Annotation-Efficient Object Detection: Unsupervised Discovery to Active Learning
Explore annotation-efficient object detection techniques, from unsupervised discovery to active learning strategies, enhancing intelligent systems with less manual input.
Object Detection 101 Course - Computer Vision
Learn object detection fundamentals and apply skills in four practical projects, including car counting, people counting, PPE detection, and poker hand recognition using YOLO and computer vision techniques.
Train YOLOv7 Object Detection on Custom Dataset in Google Colab
Step-by-step guide to train and deploy YOLOv7 object detection on custom datasets using Google Colab's free GPU. Covers model evaluation and inference on images, videos, and webcam.
Learn OpenCV in Python - Computer Vision Projects
Comprehensive Python-based OpenCV tutorial covering fundamentals to advanced applications, including face detection, object tracking, and image classification. Ideal for aspiring computer vision professionals.
Python Weeds Detection Using YOLOR - OpenCV | 2021
Learn to build a real-time weed detection model using YOLOR and OpenCV in Python. Extract weed coordinates and implement computer vision techniques for agricultural applications.
Creating a Bernie Sanders Detector Using YOLOv4 - OpenCV Python - Computer Vision
Learn to create a Bernie Sanders detector using YOLOv4/v5, OpenCV, and Roboflow. Build datasets, train models, and implement real-time detection on various platforms.
Chess Pieces Object Detection - Queens Gambit - OpenCV Python - Computer Vision - 2021
Learn to detect chess pieces using YOLOv5 and OpenCV in Python. Explore object detection techniques, train a custom model, and implement computer vision for chess analysis.
OpenCV AI Kit Raspberry Pi Smart Camera - OpenCV Python - Computer Vision - 2021
Build a real-time AI surveillance camera using Raspberry Pi and OpenCV AI Kit. Detect objects, people, and packages with MobileNet SSD at 30 FPS. Includes hardware setup, coding, and Roboflow integration for custom object detection.
Building Local LLMs for OCR, Object Detection and Image Parsing Using Mono-InternVL
Master local implementation of Mono-InternVL for advanced computer vision tasks including OCR, object detection, and image parsing using Python, achieving high-precision results.
Object and Bounding Box Detection with Vision Models Using Florence 2
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.
YOLO - From Zero to Creating Applications and Fine-tuning - Tutorial 11
Aprende a implementar YOLO 11 desde cero, desarrollando aplicaciones prácticas y realizando ajustes de fine-tuning para optimizar el rendimiento de detección de objetos.