Comments (2)
yu4u
commented on May 19, 2024
Thank you for testing this project on the LAP dataset!
Please note that this project is not intended to reproduce the results of the papers [1, 2] (of cause I'm interested in doing that).
Anyway, I think the most important thing to improve the accuracy is to fine-tune the model using the LAP training dataset. Did you try that?
Indeed it is not trivial because the LAP dataset is for a single task of age estimation while age and gender are simultaneously estimated on the model of this project.
from age-gender-estimation.
Riolite5
commented on May 19, 2024
Hello everyone, what is the difference between loss and val_loss ?
from age-gender-estimation.
Related Issues (20)
- onnx HOT 1
- Citation for this repository? HOT 2
- Low gender accurate HOT 1
- train doesn't use detection's result HOT 1
- Requirement versions
- How to draw ROC curve？
- cannot import name 'EfficientNetB0' HOT 3
- Hi! The face image in folder should be cropped? HOT 1
- accuracy in "age_estimation" folder
- run demo.py in "age_estimation" folder HOT 2
- Turn off logging outputs
- Variable shape and weights shape are not matching HOT 5
- Please help me to custom model only age-estimation
- How to re-traning when stop HOT 1
- cv2.imshow returns error
- labels.txt for age and gender
- why dot ages arange(0, 101) rather than max in predict HOT 1
- You can consider using the new B3FD dataset or IMDB-WIKI filtration lists for even better results HOT 1
- OmegaConf error
- mae performance results are different in Debug mode and Release mode.
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from age-gender-estimation.