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ensemble demo

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@ -94,7 +94,7 @@ for metric in metrics:
result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", distance_metric = metric) result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", distance_metric = metric)
``` ```
**Ensemble learning for face recognition** - Demo **Ensemble learning for face recognition** - [`Demo`](https://youtu.be/EIBJJJ0ECXU)
A face recognition task can be handled by several models and similarity metrics. We can [combine](https://sefiks.com/2020/06/03/mastering-face-recognition-with-ensemble-learning/) the precictions of all of those models and metrics to improve the accuracy of a face recognition task. This offers a huge improvement on accuracy, precision and recall but it runs much slower than single models. A face recognition task can be handled by several models and similarity metrics. We can [combine](https://sefiks.com/2020/06/03/mastering-face-recognition-with-ensemble-learning/) the precictions of all of those models and metrics to improve the accuracy of a face recognition task. This offers a huge improvement on accuracy, precision and recall but it runs much slower than single models.