How can we make the extracted text more readable using the pandas library?
To enhance the readability of extracted text using the pandas library in the context of the Google Vision API's text detection and extraction from images, we can employ various techniques and methods. The pandas library provides powerful tools for data manipulation and analysis, which can be leveraged to preprocess and format the extracted text in
- Published in Artificial Intelligence, EITC/AI/GVAPI Google Vision API, Understanding text in visual data, Detecting and extracting text from image, Examination review
How should the input data be formatted for AI Platform Training with built-in algorithms?
To properly format input data for AI Platform Training with built-in algorithms, it is essential to follow specific guidelines to ensure accurate and efficient model training. AI Platform provides a variety of built-in algorithms, such as XGBoost, DNN, and Linear Learner, each with its own requirements for data formatting. In this answer, we will discuss
What is the role of structured data in natural language generation?
Structured data plays a crucial role in natural language generation (NLG) within the field of artificial intelligence. NLG refers to the process of generating human-like text or speech from structured data, enabling machines to communicate effectively with humans. Structured data, in this context, refers to data that is organized and formatted in a way that