In the modern world finding accurate and efficient object detection for
advancement in computer vision systems has been an integral part.
• With the arise of faster and more accurate deep learning techniques the
prediction for finding a good and accurate model has been justified.
• In our project, we are primarily aiming to incorporate state- of- art
technique for object detection with the goal of achieving higher
accuracy in our MOT challenge project.
• Different models were trained and the higher accuracy was achieved
using faster RCNN.