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...
Material Challenges of Cow Dung Brick Making “From finding suitable binders to selecting the right stabilisers, making high-quality cow dung bricks requires overcoming a host of material challenges” Making cow dung bricks 🐄🧱 can be a sustainable and eco-friendly alternative to traditional building materials. However, there are several 🤔 challenges associated with the production of these bricks that need to be addressed for them to be used in construction. In this article, we will discuss the challenges related to binder, micro...