state of art computer vision
What are computer vision problems? What is traditional computer vision?
Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research now. As a way of emulating the human visual system, the research in the field of computer vision purports to develop machines that can automate tasks that require visual cognition. However, the process of deciphering images, due to the significantly greater amount of multi-dimensional data that needs analysis, is much more complex than understanding other forms of binary information. This makes developing AI systems that can recognize visual data more complicated.
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Visual recognition tasks such as image classification , localization , and detection are key components of Computer vision. Recent developments in neural networks and deep learning approaches have greatly advanced the performance of these state-of-the-art visual recognition systems.