Editor's introduction: Among all business email list product types, AI products are the most popular in the market. In the field of AI products, the preparation of data is an equally important part before starting the formal work. So, how do you prepare your data?
Among all product types, it is estimated that AI products are the most data-intensive. To train the model, a large amount of data must be fed. On June 9, 2020, an MRI-assisted diagnosis software for intracranial tumors was approved by the China Food and Drug Administration. , and obtained the first Class III medical device certificate in the field of image-assisted diagnosis.
The artificial intelligence software has an accuracy rate of over 90% in diagnosing brain tumors, and 96% in the most common types. The algorithm model for training this software has fed millions of image cases, massive data, powerful computing power and high resolution, and a new set of experience summarized by artificial intelligence has made it the basis for breakthroughs in the field of imaging diagnosis.
It can be said that in the field of AI products, data, algorithms, and computing power are equally important. Data preparation is a necessary preliminary work to start product design and development.
The data preparation work mainly includes two parts, the first is data collection, and the second is data cleaning.
1. Data collection
Data collection, as the name implies, is to collect the data required for training. For example, if I want to make a face recognition model, then I must collect face data. If I want to make a dialogue robot system, I must collect corpus data. To identify whether a person is wearing a helmet or not, you must collect data on people wearing a helmet.