What are classification fields in datalabelling

[anusha2 (anusha)]

What are classification fields in datalabelling

How are they useful in real tine

Can anyone please tell

[Parvathy (PS Parvathy)]

Hi @anusha2

Check out the below video and docs

AI Center - About Data Labeling

Document Understanding - Create and Configure Fields

1. Regular Fields:

• Purpose: Regular fields are used to capture and annotate various types of information associated with a data point.
• Examples: Regular fields can include information such as text, numbers, dates, or any other relevant data that needs to be annotated.
• Use Cases: Regular fields are suitable for tasks where the model needs to learn from multiple aspects of the data, not necessarily classifying into predefined categories.

2. Classification Fields:

• Purpose: Classification fields are specifically designed for tasks that involve categorizing data points into predefined classes or categories.
• Examples: Classification fields are typically used for tasks like image classification, sentiment analysis, or any other task where the goal is to assign data points to specific classes.
• Use Cases: Classification fields are particularly useful when the machine learning model needs to be trained to recognize and classify data into distinct categories.

Hope it helps!!
Regards

[lrtetala (Lakshman Reddy)]

Hi @anusha2

Complete Tutorial On Creating Data Labels in UiPath AI Center

Document Understanding - Create a Data Labeling Session

[Rohan_Ashok_Gaikwad]

Classification fields define the categories or classes that your machine learning model will predict. Each instance of labeled data is associated with a classification field indicating its category.

In document processing scenarios, classification is used to know what type document is real is, suppose we are processing 3 doc invoice, bill , receipt human can classify but how can machine classify so models in UiPath already train by that they can understand which is bill , receipt or invoice

• In image recognition, based on deep learning they might represent object categories and recognize car , people , tree etc
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[rlgandu (Rajyalakshmi Gandu)]

@anusha2

How to use Classification Fields for a Machine Learning Classifier? Can I train a single model to classify different document types?

The difference between classification fields in an ML model & Intelligent Keyword Classifier is that classification fields within an ML model classify field level values within a document, where as keyword classifier classifies document types. You can also use machine learning classifier as well. You should consider using the Machine Learning Classifier if: Your need to classify the single documents into different document types. No splitting is required. The custom document types are very s…

Please follow the thread hope it helps