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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] |
... | ... | ... | ... |