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---
title: Face Match
short_description: Facial recognition demo to identify people.
emoji: 🤖
colorFrom: gray
colorTo: gray
sdk: gradio
sdk_version: 4.38.1
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](https://huggingface.co/dwancin)
- **License:** [MIT](https://opensource.org/licenses/MIT)
- **Repository:** [dwancin/facial-embeds](https://huggingface.co/datasets/dwancin/facial-embeds)
- **Demo:** [dwancin/face-match](https://huggingface.co/spaces/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] |
| ...| ... | ... | ... | |