What Are the Top 5 Challenges to Achieve Computer Vision?
Computer vision technology helps modern businesses solve a range of complex visual tasks, such as defect detection, self-driving cars, and medical imaging, among others. It has made an impact across sectors, including automotive, retail, healthcare, and others. According to Grand View Research, the market for computer vision is expected to be worth $19.1 billion by 2027, at a CAGR of 7.6%. It is a field of study that encompasses developing algorithms and techniques for interpreting and analyzing visual data from the world around us. This is where data labeling comes into play to train machine learning models for tasks related to computer vision. These models need to be provided with a large amount of data in the form of images or videos that are labeled with annotations. The annotations describe the features present in the data. For instance, solutions to infuse artificial vision in computer systems depend on data annotation, as in the data labeling platform Zastra . Further, d...