suzhigangssz
commented
5 months ago "To evaluate the effectiveness of our method more realistically and inspired by the evaluation method in MegaFace [21], we modified the evaluation method of LFW. We randomly selected 12 persons from the LFW dataset as the probe set. Each contains more than 12 facial images, comprising 355 images. The other 12878 images, we use as the gallery set. In the testing phase, we take one face image of a person in the probe set and put it into the gallery set. Then use the remaining images of this person as the test set. Next, we use the above-divided dataset to test the accuracy of the face recognition model. In this way, we put each person’s image in the probe set into the gallery set in turn to measure the average accuracy. This metric can well demonstrate the impact of our method on face recognition models in practical applications"
Hello, author, I'd like to know how exactly this works, I found that the number of persons who have more than 12 facial images is only 117, and think about 355 images, there are less optional persons for probe set. Is that reasonable? or I misread？ hope for your reply, thank you very much!
"To evaluate the effectiveness of our method more realistically and inspired by the evaluation method in MegaFace [21], we modified the evaluation method of LFW. We randomly selected 12 persons from the LFW dataset as the probe set. Each contains more than 12 facial images, comprising 355 images. The other 12878 images, we use as the gallery set. In the testing phase, we take one face image of a person in the probe set and put it into the gallery set. Then use the remaining images of this person as the test set. Next, we use the above-divided dataset to test the accuracy of the face recognition model. In this way, we put each person’s image in the probe set into the gallery set in turn to measure the average accuracy. This metric can well demonstrate the impact of our method on face recognition models in practical applications"
Hello, author, I'd like to know how exactly this works, I found that the number of persons who have more than 12 facial images is only 117, and think about 355 images, there are less optional persons for probe set. Is that reasonable? or I misread？ hope for your reply, thank you very much!
The meaning in the paper is to select 12 persons, which contain a total of 355 images. Not select 355 persons.
Klara-Wingler
"To evaluate the effectiveness of our method more realistically and inspired by the evaluation method in MegaFace [21], we modified the evaluation method of LFW. We randomly selected 12 persons from the LFW dataset as the probe set. Each contains more than 12 facial images, comprising 355 images. The other 12878 images, we use as the gallery set. In the testing phase, we take one face image of a person in the probe set and put it into the gallery set. Then use the remaining images of this person as the test set. Next, we use the above-divided dataset to test the accuracy of the face recognition model. In this way, we put each person’s image in the probe set into the gallery set in turn to measure the average accuracy. This metric can well demonstrate the impact of our method on face recognition models in practical applications"
Hello, author, I'd like to know how exactly this works, I found that the number of persons who have more than 12 facial images is only 117, and think about 355 images, there are less optional persons for probe set. Is that reasonable? or I misread？ hope for your reply, thank you very much!