How to Train YOLO v7 on a Custom Dataset for Gun Detection in Security Cameras скачать в хорошем качестве

How to Train YOLO v7 on a Custom Dataset for Gun Detection in Security Cameras

Join the co-founder and CEO of Abud AI, in this comprehensive tutorial where we train YOLOv7, the state-of-the-art object detection model, for detecting guns in videos and images. This technology can enhance security systems by providing automated gun detection in critical situations. 🚀 Sign up for free and start using Abud AI for your security needs! #YOLOv7 #MachineLearning #AISecurity #ObjectDetection #TechTutorial #GunDetection Chapters: 00:00 Introduction to Abud AI and YOLOv7 00:37 Signing Up and Library Overview 01:05 Choosing the Right YOLOv7 Model 01:30 Testing on Abud with TensorFlow.js 01:45 Understanding the Dataset 02:23 Labeling Tutorial 03:13 Starting the Training Session 04:01 Training with Google Colab 05:31 Training Metrics and Real-Time Updates 06:34 Optimizing Epochs and Training Details 07:39 Deploying the Model 08:02 Testing the Model During Training 09:19 Final Thoughts and Results Links and Resources: 🥳 [Sign up for Abud AI](https://abud.ai/ref/yt:MorMkGS6_WU/home) 👋 [Join our Discord server](  / discord  ) ✅ [Join our WhatsApp group](https://chat.whatsapp.com/CzlqpwU9rID...) 🔫 [Download the guns dataset](https://drive.google.com/file/d/1_MTq...) 📚 [Read our official docs to learn how to use the Abud API in your software](https://docs.abud.ai/deployment#use-y...) ⚡ [Clone the Easy YOLOv7 repo to run it locally on any device without internet access in real-time performance](https://github.com/abud-ai/easy-yolov7) Join our community on Discord and WhatsApp for support and collaboration. Stay tuned for more updates and tutorials!