How does AI image recognition work in C++?

How does AI image recognition work in C++?

AI image recognition in C++ typically involves using libraries like OpenCV or TensorFlow. These libraries provide tools for image processing and machine learning.

What are the main steps involved in building an image recognition model?

The main steps include data collection, preprocessing images, training a model, and then evaluating its performance.

Can you give me an example of a simple image recognition program in C++?

Sure! Here's a basic example using OpenCV to load an image and display it:

#include <opencv2/opencv.hpp>

int main() {
    cv::Mat image = cv::imread("path_to_image.jpg");
    cv::imshow("Display window", image);
    cv::waitKey(0);
    return 0;
}

What kind of datasets are commonly used for training image recognition models?

Common datasets include ImageNet, CIFAR-10, and MNIST, which provide a variety of labeled images for training.