# State Classification of Cooking Objects Using a VGG CNN

arXiv: https://arxiv.org/abs/1904.12613 · HTML: https://mlsanity.com/paper/1904.12613/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Apr 2019.

## Built on by (most cited first, 1 of 1)

- [Classifying States of Cooking Objects Using Convolutional Neural Network](https://mlsanity.com/paper/2105.14196/) (2021)

## Abstract (arXiv)

In machine learning, it is very important for a robot to know the state of an object and recognize particular desired states. This is an image classification problem that can be solved using a convolutional neural network. In this paper, we will discuss the use of a VGG convolutional neural network to recognize those states of cooking objects. We will discuss the uses of activation functions, optimizers, data augmentation, layer additions, and other different versions of architectures. The results of this paper will be used to identify alternatives to the VGG convolutional neural network to improve accuracy.