Comments (2)
I'm experiencing a similar result. I enrolled the faces of over 1500 children age 1 - 6. Then then randomly chose images of children of about the same age off of google. Compreface gives me high probability of match, above .97, for every random face off the internet that I try. The API works great it's unfortunate that the it doesn't work for the intended purpose. Is there something I'm missing?
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@zhouyong297137551
I have two suggestions:
- Try to use one of the custom builds. They show better accuracy: https://github.com/exadel-inc/CompreFace/tree/master/custom-builds
- When you define face collection, try to use the best possible photo
- When you recognize a person, choose the best possible frame - without blurring, when the face looks straight to the camera, etc.
- Finally, as I understand, the actor database is huge, but the actual number of actors on TV is usually not very high. So you can compare frames with each other to understand if this is the same person. Then, choose several best frames. Then, run facial recognition on the best frames.
@loyal2dagame
Here is where the problem - face recognition accuracy depends on the original dataset used to train the neural network.
For example, if the dataset didn't include enough Asians, it would work poorly on Asians. This is why I usually suggest using custom builds, as they use datasets with more diversity.
But here is the problem - usually, datasets don't include children, as they are protected much more strictly than adults. This is a reason why face recognition systems work poorly on children.
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Related Issues (20)
- Pose Plugin needs work (or better instructions)
- CompreFace no starting under Docker with Hyper-V
- How to create applications and services through admin api
- Compreface-API rewrites my postgresql jdbc url HOT 12
- Error while fetching server API version: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory')) HOT 1
- 404 Not Found HOT 2
- Security issue: default API keys
- Any chance for 1.2 as home assistant Addon? HOT 5
- Support for subject verification
- High Similarity Recognition of Unseen Faces
- compreface-core only using 1st GPU
- Migrating from FaceNet to another version
- face-detect-service input no-face image without Exception
- Admin & API Node wont start HOT 1
- Openvino support HOT 1
- Install Compreface on docker desktop.
- Compreface API shows only 1 subject instead of 10 subjects HOT 1
- Port contention with Portainer (i.e. port 8000) HOT 1
- compreface-api service in constant "crash loop". HOT 2
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