ageitgey / ageitgey/face_recognition
Does this library works good in recognizing faces of black women ?
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- Dominant language
- Python
- Stars
- 56.8k
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Description
In this video https://www.youtube.com/watch?time_continue=6&v=TWWsW1w-BVo, speaker describes about how different libraries misclassified her and not able to detect her face.
If this is because of the training samples dlib gave to train the model, how can we retrain on top of the already trained model with our failed samples ?
All tutorials i saw till now are difficult for my understanding just to retrain the existing model with some new sample.
Could someone please give sample prototype or ideas for this retraining ? I am new to deep learning/tensorflow/keras.
Thank you,
Contributor guide
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Research direction
The issue names no repository file, test, or entry point. Start by determining whether the request is for retraining guidance or a repository change, then establish representative failed samples and a reproducible evaluation; done would require an agreed retraining approach and evidence that recognition improves for the stated cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- keras, python, tensorflow
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100