You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Does anyone have accuracy numbers on Imagenet 50k testset for Resnet-18 and 50? I could find this for validation set but not for test set. My numbers are 65.2 and 72.9, less than the whats seen on the validation set. Also, TF resnet-50 accuracy is similar to Caffe Validation accuracy, strangely. (https://github.com/tensorflow/models/tree/master/research/slim)
My preprocessing for resnet: resize to 256, centercrop 224, resnetmean subraction. Strangely my accuracy is bad if my 1st resize is aspect ration preserving & smaller side to 256. Any comments/suggestions is appreciated. Thanks!
The text was updated successfully, but these errors were encountered:
Does anyone have accuracy numbers on Imagenet 50k testset for Resnet-18 and 50? I could find this for validation set but not for test set. My numbers are 65.2 and 72.9, less than the whats seen on the validation set. Also, TF resnet-50 accuracy is similar to Caffe Validation accuracy, strangely. (https://github.com/tensorflow/models/tree/master/research/slim)
My preprocessing for resnet: resize to 256, centercrop 224, resnetmean subraction. Strangely my accuracy is bad if my 1st resize is aspect ration preserving & smaller side to 256. Any comments/suggestions is appreciated. Thanks!
The text was updated successfully, but these errors were encountered: