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mkang315 / RCS-YOLO

[MICCAI'23] Official implementation of "RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection".
GNU General Public License v3.0
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experimental results validation or test? #13

Open hahahaa1 opened 4 months ago

hahahaa1 commented 4 months ago

I would like to ask that in the author's paper, it was mentioned that the Br35H dataset was divided into a training set and a validation set, but there was no mention of a test set. I have searched for the Br35H dataset on the Internet, and it contains a training set, a validation set, and a test set. I would like to inquire whether the final experimental results obtained by the author in the paper were obtained on the validation set or the test set?

mkang315 commented 4 months ago

As stated in Section 3.1, our experimental results of RCS-YOLO are obtained on the validation set. Please see the results of RCS-YOLO on the test set in the BGF-YOLO's paper, and its code is available at https://github.com/mkang315/BGF-YOLO. Thank you!