Image retrieval makes an emphasis role in this digital world. This work is a review of several references from various image retrieval methods. However, searching the digital image with its visual content is mandatory for searching and fetching images from the dataset. The Process of image retrieval becomes tough when it has to search huge number of images per seconds is very complicated than the searching fewer images. There are different efficient image retrieval techniques are available, here content- based image retrieval is the vital role with its visual contents in lesser time with more accuracy. It has proposed effective and resourceful intelligent techniques. The research work gives new dynamics of decent attention and performance of image retrieval with machine learning algorithm with balance training set and best classification of it. The large collection of images and retrieval with its semantic features of texture, shape, color, is measured. The essential reduction of semantic gap is main goal between user and CBIR system. Our research proposes the novel outlooks for various image retrieval techniques in intelligent way and its potential applications and future directions.