Author: Zen and the Art of Computer Programming
1 Introduction
Every September, the AI Challenger competition officially kicks off. As the first domestic machine learning competition jointly developed by Huawei, the AI Challenger aims to promote exchanges and cooperation between machine learning research and industry, and promote technological development. According to the opinions of the judges, this year's AI Challenger will have two sub-topics: "Image Classification" and "Face Recognition". This article will focus on the image classification task.
2. Background introduction
At present, human hands and eyes are relatively sensitive, and the characteristics of objects can be quickly recognized and judged with the naked eye. However, due to the limitation of the camera in sunlight, it has caused a lot of trouble. With the popularity of cameras, more and more people are beginning to accept intelligent management, such as automatic doorbells and driverless cars. Vision-based machine learning algorithms can help artificial intelligence systems understand the environment more quickly, thereby assisting decision-making and task execution. Therefore, traditional image classification models have also received extensive attention in this field.
3. Explanation of basic concepts and terms
First, let's go over some basic concepts and terminology.
Image Classification
In the field of computer vision, image classification is to divide the input image into different categories, and each category represents a specific target or scene. Image classification is of great significance, such as security protection, image retrieval, image tracking, behavior analysis, etc.
Dataset
A dataset is a collection of data that stores a limited number of samples and is used for training, testing, or deploying machine learning models. Image datasets are usually stored in a structured manner, including labels, description information, image files, and other information. For example, the MNIST handwritten digit set and the CIFAR-10 image dataset are typical datasets.
Model
A model refers to a calculation method or process for a computer to realize prediction, analysis, and learning. Image classification models are used to process image data and distinguish between objects and scenes