Hello dkollias,
Thanks for sharing your work! I'm interested in this data set and want to train a model by training all the faces which I crop based on bounding boxes. There are some problems I have:
1. I found that many faces I cropped from video are in the trailer like Jon Snow's face. Is the annotation of that face?
2. I want to train my model not using RNN or any sequence based methods. Have you ever tried to train a CNN to extract features and then feed that features to a regression method before? In paper, you just mentioned using SVR but not using a CNN model with it.
3. Can I get the test set annotation to evaluate my model? Since there is no test annotation, so I want to ask how to evaluate my own data set without test set ground truth. To evaluate my models before, I analyzed test accuracy by comparing ground truth and my predictions.
This is my first time to use a huge data set and train a non-classification model. I appreciate your patience to read and help.
Thanks,
Andy
Hello dkollias,
Thanks for sharing your work! I'm interested in this data set and want to train a model by training all the faces which I crop based on bounding boxes. There are some problems I have:
1. I found that many faces I cropped from video are in the trailer like Jon Snow's face. Is the annotation of that face?
2. I want to train my model not using RNN or any sequence based methods. Have you ever tried to train a CNN to extract features and then feed that features to a regression method before? In paper, you just mentioned using SVR but not using a CNN model with it.
3. Can I get the test set annotation to evaluate my model? Since there is no test annotation, so I want to ask how to evaluate my own data set without test set ground truth. To evaluate my models before, I analyzed test accuracy by comparing ground truth and my predictions.
This is my first time to use a huge data set and train a non-classification model. I appreciate your patience to read and help.
Thanks,
Andy