Building a ground truth image is an important task in many image classification projects, especially in medical imaging or in projects that require expertise in labeling objects. However, for many other tasks, such as classifying vegetation in an image, building a labeled image can be easy and simple with the help of unsupervised learning models. Ground truth refers to a set of measurements or conditions that serve as a benchmark or target for a classification system or machine learning algorithm. Here are some examples of what ground truth can mean in different contexts: In object recognition, ground truth can refer to a set of labeled images that have been manually annotated by human experts. These label...
Exploring the Paradox of Academic Excellence and Real-World Incompetence Unraveling the Dichotomy of Academic Brilliance and Practical Inefficiency Over the years, I have had the privilege of interacting with a diverse array of students, ranging from mature learners, parent-students, to research scholars. These individuals, adept at navigating their professional lives, often exhibit a unique perspective towards education, viewing it as a communal activity or a sacred journey of enlightenment and progress. However, a striking observation that emerges from my interactions with these research scholars and students is their ability to circumvent the conventional education system to achieve their academic goals. This phenomenon is not a reflection of their intellectual prowess but rather an indication of their survival instinct in a system that values degrees over knowledge. For instance, many of these students have been nurtured by 'helicopter paren...