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

Описание: 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.

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#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!