Computer Vision Projects with PyTorch: Design and Develop Production-Grade Models

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

A. Kulkarni et al.Computer Vision Projects with PyTorchhttps://doi.org/10.1007/978-1-4842-8273-1_7

7. Image Anomaly Detection

Akshay Kulkarni¹  , Adarsha Shivananda² and Nitin Ranjan Sharma³

(1)

Bangalore, Karnataka, India

(2)

Hosanagara tq, Shimoga dt, Karnataka, India

(3)

Bangalore, India

 

The study of machine learning has put us in the course of studying various patterns and behavior. It has allowed us to build models that can study closed environments. Predictive power often follows the model training process. It is an important question that we need to ask often when we are training a model. There is another question that needs an answer—how much data is sufficient ...