The Get Celebrity endpoint returns data about detected celebrity faces in an image, including the celebrity's name, a confidence score indicating the likelihood of the match, and a unique identifier for each celebrity.

The key fields in the response data include "id" (unique identifier), "name" (celebrity's name), and "value" (confidence score, ranging from 0 to 1, indicating the match's accuracy).

The response data is organized as a JSON array, where each object represents a detected celebrity with fields for their ID, name, and confidence score, allowing easy parsing and analysis.

The Get Celebrity endpoint provides information on detected celebrities, including their names and confidence scores, enabling users to identify and assess the presence of celebrities in images.

Users can customize their requests by providing different image URLs to the Get Celebrity endpoint, allowing for the detection of various celebrities in different images.

The data is sourced from an extensive database of over 10,000 recognized celebrities, ensuring a broad and diverse range of celebrity identities for accurate detection.

Data accuracy is maintained through advanced algorithms trained on a large dataset, which continuously improves the model's ability to recognize and match celebrity faces in various conditions.

Typical use cases include social media monitoring for influencer identification, event management for celebrity attendance, and content moderation to ensure compliance with copyright laws.

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