• Veena A
• Vasanthamma H
• Heenakousar M Makandar
• Uppar Gangadevi
• Maitra k

In the progress of computer vision systems, Real time object detection has become an main topic in development. Creating the specific machine learning model which have the ability to recognizing and localizing many objects in a single image has become a main challenge in a Computer vision. By using advanced deep learning, object detection has become more easier than before. The aim of project is to detect the object in real time with high accuracy by using Tensorflow. Tensorflow object detection API is the Google open source machine learning frame work that is easy to build, train and place the object detection. The object is trained using accessible data set. It is used to detect the object in videos as well as specific images. The result is fast and precise, thus helps those applications which demand object detection.

Machine learning, deep learning, Tensorflow, coco model.

"Real Time Object Detection Using TensorFlow", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.239-241, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06053.pdf

"Real Time Object Detection 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. pp239-241, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06053.pdf