Data labeling is the cornerstone of the artificial intelligence industry. The mainstream training mode of artificial intelligence is “question-sea tactics”, let artificial intelligence do enough questions, and then use the answers to tell it right or wrong. Therefore, machine learning needs to be supported by a large amount of effective data, and these data need to … Read more
The purpose of data annotation semantic is to tell the machine which things belong to which category or have certain attributes in supervised learning. segmentation annotation is actually a pixel-level classification, which predicts which object the target pixel belongs to. So the purpose of labeling is to tell the machine which pixels belong to which … Read more
In recent years, pictures machine learning techniques centered on deep learning have attracted attention. For example, self-driving cars have gradually become possible, but in the entire deep learning process, algorithms are required to recognize and learn images provided as raw data. In this process, semantic segmentation technology is applied. So, how does semantic segmentation annotate pictures? Let’s … Read more
Self-driving automatic car companies hope to collect a large amount of data, which can provide more useful references for autonomous driving. This data set has two main parts: 1. Collect data through various means such as vehicle detection, lane change, road traffic sign recognition, pedestrian and bicycle detection; 2. Data annotation through visual recognition. Challenges … Read more
As one of the mainstream methods of voice human-computer interaction, voice has unique advantages and charms. A seemingly short piece of voice not only contains the text content that the speaker wants to convey, but also contains the speaker’s identity, language category, speaker’s emotional state, the environment in which they speak, etc. What is Voice … Read more
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