• Varun Lale
• Ajay Talele
• Jitesh Patil
• Tejal Meshram

Recently, engineers, scientists and developers are getting fascinated by the words- objects or things etc. These keywords are being used in various engineering fields. An object is nothing but an entity. The entity can be a living or a non-living thing. In the field of computer vision or image processing, whenever an image is needed to be processed on, it needs some information which classifies the different objects in an image with the help of their classes. The image may contain several objects, which can be of similar types or which may vary from each other by a long margin. In this paper, we discuss about detection of objects of certain classes (such as humans, cars or fruits) in digital images and videos and how it is done in real time. This paper also discusses about the different algorithms which are required for the detection of objects in the domain of computer vision and deep learning and choosing the correct algorithm for our application. We are taking the example of two to 3 types of fruits which are distinct from each other in terms of their overall visual and physical characteristics.

Objects, Computer Vision, Classifier, R-CNN, TensorFlow

"Object Detection Classifier using Tensorflow ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.19-22, May-2019, Available :http://www.jetir.org/papers/JETIR1905505.pdf

"Object Detection Classifier using Tensorflow ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp19-22, May-2019, Available at : http://www.jetir.org/papers/JETIR1905505.pdf