Being one of the most exciting AI fields, computer vision is a multidisciplinary area that deals with intelligent processing of visual information. It is behind the scenes of fingerprint recognition and biometrics in your smartphone, automated translation from an image, automotive safety, streamlined visual inspection of mass production, and many other fascinating tasks. Here, at It-Jim, we are passionate about computer vision R&D and engineering.
The presented paper benchmarks the performance of state-of-the-art methods of objects detection in the particular case of airplanes on the ground identification detection in aerial images taken from unmanned aerial vehicles or satellites. There were tested two popular single-stage neural networks YOLO v.3 and Tiny YOLO v.3 based on the “You Only Look Once” approach. The considered artificial neural network architectures for objects detection has been trained and applied over the specifically created image database.
Since any arbitrary physical parameter can be encoded and visualized as an image, proper digital image processing solutions can be really handful in projects from many domains. Indeed, visual information like images and videos is the most widely used in all businesses, which is no surprise as the human brain instantly understands and interprets it. Basically, image processing can be considered as a type of two-dimensional signal processing applied to image pixels.