Deep learning has been widely applied to various computer vision tasks such as image classification, object detection, semantic segmentation, and human pose estimation. When we intend to solve the object detection problem from images, the whole process starts from object classification. Then we perform object localization and finally, we perform the object detection.
This project is highly inspired by the Java Autonomous driving – Car detection article by Klevis Ramo (http://ramok.tech/). Also, some theoretical concepts are used (but significantly extended for this need) with due permission from the author.
