TYPES OF DATA ANNOTATION THAT ARE USED.pdf

Data annotation involves labeling datasets with relevant tags or labels to provide context for machine learning models. It ensures accurate and structured data, enabling effective model training for tasks like image recognition or sentiment analysis. Data annotation is essential for developing reliable and efficient AI systems

1. TYPES OF DATA
TYPES OF DATA
ANNOTATION
ANNOTATION

2. IMAGEIMAGE
ANNOTATIONANNOTATION
Identifying and marking objects, regions,
or features within images, supporting
tasks such as object detection or
semantic segmentation in image data.

3. AUDIOAUDIO
ANNOTATIONANNOTATION
Tagging audio segments with
labels or transcribing spoken
content, facilitating tasks like
speech recognition or speaker
identification in audio data

4. VIDEOVIDEO
ANNOTATIONANNOTATION
Marking objects, actions, or
events within video frames,
enabling tasks such as
action recognition or object
tracking in video data.

5. Labeling text data with
tags or categories,
facilitating natural
language processing tasks
like sentiment analysis or
named entity recognition
TEXTTEXT
ANNOTATIONANNOTATION

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