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What are the five categories included in the safe search detection feature?

by EITCA Academy / Saturday, 30 December 2023 / Published in Artificial Intelligence, EITC/AI/GVAPI Google Vision API, Advanced images understanding, Explicit content detection (safe search feature), Examination review

The safe search detection feature in the Google Vision API's advanced images understanding, specifically in explicit content detection, is designed to identify and categorize explicit or inappropriate content within images. This feature aims to provide a safer and more secure browsing experience by flagging or filtering out potentially offensive material.

There are five main categories included in the safe search detection feature:

1. Adult: This category encompasses explicit or sexually suggestive content, including nudity, sexual acts, and adult-oriented material. The detection model analyzes various visual cues such as body parts, explicit gestures, and explicit text to determine the presence of adult content.

Example: If an image contains explicit nudity or sexually explicit activities, it will be classified under the adult category.

2. Spoof: This category includes images that are intended to deceive or trick the viewer. It covers content such as digitally manipulated images, fake or counterfeit products, or images that mimic the appearance of something else.

Example: An image that showcases a digitally altered celebrity photo or a counterfeit product would fall into the spoof category.

3. Medical: The medical category includes images that may contain medical or anatomical content, such as surgical procedures, medical diagrams, or images of injuries. This category helps distinguish between explicit content and legitimate medical imagery.

Example: An image depicting a medical procedure or a diagram of the human body would be classified under the medical category.

4. Violence: This category identifies images that depict violent or harmful acts, including physical assault, weapons, or graphic scenes of violence. The detection model analyzes visual elements such as blood, weapons, or aggressive gestures to classify an image as violent.

Example: An image showing a physical fight or a scene of explicit violence would be categorized under the violence category.

5. Racy: The racy category is used to identify images that may be considered suggestive or mildly provocative. It includes content such as revealing clothing, swimsuits, or images with a strong focus on physical attractiveness.

Example: An image featuring individuals in revealing clothing or a suggestive pose would fall into the racy category.

These five categories work together to provide a comprehensive assessment of the explicit content within an image. By utilizing advanced machine learning algorithms, the Google Vision API can accurately detect and categorize explicit content, enabling developers to implement appropriate measures to filter or moderate such content.

The safe search detection feature in the Google Vision API's advanced images understanding provides a robust mechanism to identify and categorize explicit content within images. The five categories, namely adult, spoof, medical, violence, and racy, cover a wide range of potentially offensive material, enabling developers to implement effective content filtering and moderation solutions.

Other recent questions and answers regarding Advanced images understanding:

  • What are some predefined categories for object recognition in Google Vision API?
  • What is the recommended approach for using the safe search detection feature in combination with other moderation techniques?
  • How can we access and display the likelihood values for each category in the safe search annotation?
  • How can we obtain the safe search annotation using the Google Vision API in Python?
  • How does the Google Vision API's safe search feature detect explicit content within images?
  • How can we visually identify and highlight the detected objects in an image using the pillow library?
  • How can we organize the extracted object information in a tabular format using the pandas data frame?
  • How can we extract all the object annotations from the API's response?
  • What libraries and programming language are used to demonstrate the functionality of the Google Vision API?
  • How does the Google Vision API perform object detection and localization in images?

View more questions and answers in Advanced images understanding

More questions and answers:

  • Field: Artificial Intelligence
  • Programme: EITC/AI/GVAPI Google Vision API (go to the certification programme)
  • Lesson: Advanced images understanding (go to related lesson)
  • Topic: Explicit content detection (safe search feature) (go to related topic)
  • Examination review
Tagged under: Adult Content, Artificial Intelligence, Explicit Content Detection, Google Vision API, Medical Content, Racy Content, Safe Search, Spoof Content, Violence Content
Home » Advanced images understanding / Artificial Intelligence / EITC/AI/GVAPI Google Vision API / Examination review / Explicit content detection (safe search feature) » What are the five categories included in the safe search detection feature?

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