Data Annotation | Web Scraping Tool | ScrapeStorm
Abstract:Data Annotation is the process of converting raw data into a form that can be understood by machine learning algorithms. ScrapeStormFree Download
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Introduction
Data Annotation is the process of converting raw data into a form that can be understood by machine learning algorithms. Through labeled data, machines can learn various tasks such as classification, regression, object detection, etc.
Applicable Scene
Data Annotation has a wide range of applicable scenarios, covering any field that requires machine learning or artificial intelligence algorithms to learn from data and make intelligent decisions, such as autonomous driving, medical image analysis, natural language processing, security monitoring, etc.
Pros: Ability to provide high-quality training data to improve the accuracy and performance of machine learning models
Cons: It is costly and time-consuming, especially the labeling process that requires a lot of manual participation.
Legend
1. Types of Data Annotation.
2. Data Annotation.
Related Article
Reference Link
https://simple.wikipedia.org/wiki/Data_annotation