Verisetinin artırılması ve interaktif modüllerin derin öğrenme mimarisine entegre edilmesi ile küçük nesne tespiti

Recently, image processing, video processing applications have made significant progress via Graphical Processing Unit emerging technology and has been effectively used by several industries such as robotics, augmented reality, autonomous cars, and surveillance systems. Object identification is a fundamental challenge in computer vision, as it serves as the basis for several sophisticated applications. By accurately detecting and localizing objects, computer vision systems may perform complex tasks such as object identification, semantic comprehension, and scene understanding. Driven by improvements in deep learning algorithms and the availability of big annotated datasets, object detection has made tremendous strides over time. Deep neural networks, in particular CNNs, have exceeded earlier techniques relying on manually created features and classifiers. CNNs have demonstrated impressive object detecting capabilities, offering greater accuracy.