face-detection6

The face-detection6 MCP server is designed to integrate seamlessly with applications, providing advanced computer vision functionalities that can identify and analyze faces with high accuracy. It offers core functionalities such as face detection, which locates human faces within an image using bounding boxes and provides a probability score for each detection. Additionally, it can predict the age range and binary gender of each detected face, offering insights into demographic characteristics. The server is optimized for speed and accuracy, with configurable parameters to balance these aspects according to user needs.

Features

• Face Detection: Locates human faces within an image and provides bounding box coordinates and probability scores.
• Face Detection with Age & Gender: Predicts age range and binary gender for each detected face.
• Accuracy Configuration: Allows adjustment of the trade-off between speed and accuracy with a parameter ranging from 1 to 4.

MCP Tools

• Face Detection: Detects the locations of human faces within an image, outputting bounding box coordinates and probability scores.
• Face Detection with Age & Gender: Provides demographic information, including age range and gender predictions for each detected face.

Usage with Different Platforms

python

python
import requests

url = 'http://face-detection6-server/api/detect'
image_url = 'http://example.com/image.jpg'
params = {'accuracy': 2}

response = requests.post(url, json={'image_url': image_url, 'params': params})
print(response.json())