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typo in large scale

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Sefik Ilkin Serengil 2020-05-26 10:38:42 +03:00 committed by GitHub
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@ -41,9 +41,9 @@ resp_obj = DeepFace.verify(dataset)
Items of resp_obj might be unsorted when you pass multiple instances to verify function. Please check the item indexes in the response object. Items of resp_obj might be unsorted when you pass multiple instances to verify function. Please check the item indexes in the response object.
## Face recognition on a large scala data set ## Large scale face recognition
You can apply face recognition on a large scale data set as well. Vector representations of faces in your database folder stored in a pickle file when find function is called once. Then, deepface just finds vector representation of the target image. Finding an identity in a large scale data set will be performed in just seconds. You can [apply](https://youtu.be/Hrjp-EStM_s) face recognition on a large scale data set as well. Vector representations of faces in your database folder stored in a pickle file when find function is called once. Then, deepface just finds vector representation of the target image. Finding an identity in a large scale data set will be performed in just seconds.
```python ```python
from deepface import DeepFace from deepface import DeepFace