Object Detection with 10 lines of code

#artificialintelligence 

The breakthrough and rapid adoption of deep learning in 2012 brought into existence modern and highly accurate object detection algorithms and methods such as R-CNN, Fast-RCNN, Faster-RCNN, RetinaNet and fast yet highly accurate ones like SSD and YOLO. Using these methods and algorithms, based on deep learning which is also based on machine learning require lots of mathematical and deep learning frameworks understanding. There are millions of expert computer programmers and software developers that want to integrate and create new products that uses object detection. But this technology is kept out of their reach due to the extra and complicated path to understanding and making practical use of it.

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