• NEERAJ SHARMA
• Prof. Priyanka Sharma
• Prof. Saurabh Mandloi
• Prof. Kretika Tiwari

For decades, object recognition and detection have been important problems in real-life applications. There are many applications for these utilities, including human detection, intrusion detection, motion detection, face detection etc. The detection and recognition of an object or pedestrian present growing and challenging problems in the field of computer vision. In this paper presents the literature survey for the object detection and the classification of any object or an image using the machine learning approach.

Object detection, Red Green Blue, Supervised learning, Convolution neural network Feature extraction.

"Object Detection using Supervised Learning: Survey & Discussions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.136-140, June 2019, Available :http://www.jetir.org/papers/JETIR1907A44.pdf

"Object Detection using Supervised Learning: Survey & Discussions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp136-140, June 2019, Available at : http://www.jetir.org/papers/JETIR1907A44.pdf