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| title: Face Match | |
| short_description: Upload an Image to Identify Faces | |
| emoji: 🤖 | |
| colorFrom: gray | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 4.28.0 | |
| app_file: app.py | |
| pinned: true | |
| header: mini | |
| 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] | | |
| | ...| ... | ... | ... | |