In the tumultuous post-independence period, a striking majority of India's population, estimated at approximately 70%, languished in dire poverty. As we transition into a new era, this disconcerting statistic has seen significant improvement. Today, we estimate the poverty rate at a comparatively diminished figure, around 15%. How did this remarkable shift transpire? To trace the roots of this evolution, we must journey back to India's nascent days as an independent nation. In the wake of 1947, India adhered to a unique socio-economic framework termed 'Democratic Socialism'. This compelling doctrine embodied a few salient principles: The fusion of private enterprise and societal welfare: Democratic socialism actively encouraged the participation of the private sector but insisted that it must work toward social advancements alongside economic prosperity. This approach reflects the ethos of successful cooperative movements such as Amul, which has revolutionized the dairy...
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...