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...
Cow dung: 🐮🌾🧩 Lime: 🏻🧑🔬🔳 Sodium silicate: 🔰🧑💼👀 "Yes, 🙌 cow dung bricks 🧩 can also be made 💡 using the combination 💼 of cow dung, 🐮 lime, 🏻 and sodium silicate. 🔰 Here are the suggested properties 🧑🔬 of the ingredients 🧑💼 that need to be checked 🔳 before using them 🏻 for cow dung brick making: 🐮🏻🧑🔬🌾🧩" Properties of Cow Dung: Moisture content: should be around 15-20% Ash content: should be less than 10% pH value: should be neutral to slightly acidic (around 6-7) Fibre content: should be less...