MACHINE LEARNING APPLICATION IN IDENTIFICATION STRAWBERRY PICTURE

Abstract

Image recognition and processing is an important segment that is being applied
in many projects such as license plate recognition, face recognition,.... Image
recognition and classification based on developed Machine learning many applications
in recent years, such as biomedical image analysis, vehicle target recognition,
expression recognition, and character recognition [9]. In this paper, a Machine learning
algorithm is applied to recognize strawberry images, the results are then processed
into data through Python. The process starts from extracting the original data frame,
through the correction algorithms to get the image with the right size and ratio. Those
images are evaluated by Mahine learning, then the correct images are fed back into
Machine Learning. While the exact results are also processed into data in python
language to create the database. Through more and more runs the correctly
recognized images will be fed back into the Machine Learning database to improve
speed and accuracy (higher, better, shorter time, more efficient,…). The results are
simulated on YOLOv7 software (just 1 scan) in colab environment with image
database proving the effectiveness of the proposed method [2].