metadata

title: Face Match
short_description: Upload an Image to Identify Faces
emoji: 🤖
colorFrom: gray
colorTo: gray
sdk: gradio
sdk_version: 4.37.1
app_file: app.py
pinned: true
header: default
license: mit
datasets:
  - dwancin/facial-embeds
task_categories:
  - zero-shot-image-classification
  - image-classification
tags:
  - computer-vision
  - face-recognition

Face Match

Upload an image, and the system will find the most similar face in our dataset.

Dataset

Details

Creator: Daniel Ialcin Misser Westergaard
License: MIT
Repository: dwancin/facial-embeds
Demo: dwancin/face-match

Data Structure

Each record in the dataset represents an image, organized as follows:

id: Unique identifier.
file_name: Path to image ('images/{file_name}').
text: Name or label associated with the image.
embeddings: Numerical facial embedding vector.

Example Entry

ID	File Name	Text	Embeddings
1	images/1.jpg	Person Name	[0.1, 0.2, ..., 0.0]
2	images/2.jpg	Person Name	[0.2, 0.3, ..., 0.0]
3	images/3.jpg	Person Name	[0.3, 0.4, ..., 0.0]
...	...	...	...