What data can be marked best with data labeling, and what are the ways of data labeling
Data annotation is an important data processing technique, which can mark data into structured data that can be used for machine learning, thereby improving the accuracy and reliability of machine learning algorithms.
Data annotation can annotate the following types:
1. Image annotation
Image annotation is the process of identifying and classifying objects in images, such as identifying and classifying animals, plants, etc. in images. Image annotation includes: object detection, segmentation, localization, semantic analysis, classification, instance segmentation, etc.
2. Voice annotation
Speech annotation is the marking of speech recognition results into structured text, such as recognizing and marking voices in a phone call, in order to identify the speaker's voice characteristics. Speech annotation includes: acoustic model training, speech recognition, speech synthesis, speech recognition, sentiment analysis, etc.
3. Text annotation
Text annotation is the proce...