Artificial Intelligence Methods in Flower Species Recognition: Models Testing

The following paper describes the process of designing and implementing machine learning models that allow for the recognition of flower species using images. This problem is significant mainly because of the artificial intelligence development and its capabilities. In this work, we briefly characterize the types of machine learning and the data set on which the experiments were performed. The computational technologies used in the experiment are also described to present the high degree of development of environments supporting programmers in using various machine learning models. Finally, two neural network models were created and tested – one based on the classifier and one on the convolutional neural network.