How to Automate Quality Inspections with ResNet Classification Models
Автор: Roboflow
Загружено: 2025-09-16
Просмотров: 1259
With computer vision models like ResNet, you can automatically evaluate images and detect quality issues. This technology is versatile enough to handle everything from checking if a juice box is missing a straw to identifying a tiny blemish on a piece of ceramic.
In this in-depth tutorial, we'll walk you through building a pass/fail inspection system from scratch:
✅ Train a custom ResNet image classification model.
🧪 Test and evaluate your model's performance.
🚀 Deploy the system into a production environment for real-world use.
What you'll see in the video
00:00 Introduction: How to Detect Juice Box Defects?
01:21 What Are Image Classification Models?
04:36 Why Pass/Fail Inspection
06:03 ResNet: Fast Image Classification
08:27 Tutorial: Training a ResNet Model
14:11 Tutorial: Testing and Evaluating the Model
16:12 Running the Model in Production
18:27 Tutorial: Deploying the Model
25:33 Conclusion and Hardware Considerations
Want to join a future live session? Register here: https://roboflow.com/webinar
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
![Residual Networks (ResNet) [Physics Informed Machine Learning]](https://ricktube.ru/thumbnail/w1UsKanMatM/mqdefault.jpg)
