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@ -142,7 +142,7 @@ Here, you can also find some real time demos for various facial recognition mode
| Emotion | - | [`Video`](https://youtu.be/Y7DfLvLKScs) | | Emotion | - | [`Video`](https://youtu.be/Y7DfLvLKScs) |
| Celebrity Look-Alike | - | [`Video`](https://youtu.be/RMgIKU1H8DY) | | Celebrity Look-Alike | - | [`Video`](https://youtu.be/RMgIKU1H8DY) |
**Embeddings** - [`Demo`](https://youtu.be/OYialFo7Qo4) **Embeddings** - [`Tutorial`](https://sefiks.com/2025/06/28/what-are-vector-embeddings-and-why-they-matter-in-ai/), [`Demo`](https://youtu.be/OYialFo7Qo4)
Face recognition models basically represent facial images as multi-dimensional vectors. Sometimes, you need those embedding vectors directly. DeepFace comes with a dedicated representation function. Represent function returns a list of embeddings. Result is going to be the size of faces appearing in the image path. Face recognition models basically represent facial images as multi-dimensional vectors. Sometimes, you need those embedding vectors directly. DeepFace comes with a dedicated representation function. Represent function returns a list of embeddings. Result is going to be the size of faces appearing in the image path.