• Manish Dubey
• Garvita Upadhayay

Image classification is a fundamental task in computer vision that involves assigning one or more class labels to an image. It has a wide range of applications, including object recognition, medical diagnosis, and autonomous driving. Machine learning has emerged as a powerful tool for image classification, and a variety of algorithms have been developed for this task. This paper provides a comprehensive review of machine learning algorithms for image classification. It covers traditional machine learning algorithms, deep learning algorithms, and evaluation metrics. It also discusses the challenges of image classification and future directions of research.

Image classification, machine learning, deep learning, supervised learning, unsupervised learning, convolutional neural networks, recurrent neural networks

"Machine Learning Algorithms for Image Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.38-42, August-2018, Available :http://www.jetir.org/papers/JETIRGD06006.pdf

"Machine Learning Algorithms for Image Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp38-42, August-2018, Available at : http://www.jetir.org/papers/JETIRGD06006.pdf