■ Using transfer learning, achieved extremely high test accuracy for a small training data set with no external preprocessing.
■ Successfully developed a method to detect and recognize faces for arbitrary pictures with multiple faces, as well as tilted face.
■ Computed picture similarity based on embedding space.
-
Notifications
You must be signed in to change notification settings - Fork 0
PursueHappinessDirectly/FaceRecognition_TransferLearning
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Use pre-trained vgg model and Cascade classifier to finish face recognition task
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published