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authorSergey Karayev <sergeykarayev@gmail.com>2014-07-11 19:23:47 -0700
committerSergey Karayev <sergeykarayev@gmail.com>2014-07-11 23:41:12 -0700
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[example] image classification web demo
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Note that unlike Caffe itself, these models are licensed for **academic research / non-commercial use only**.
If you have any questions, please get in touch with us.
-This page will be updated as more models become available.
+*UPDATE* July 2014: we are actively working on a service for hosting user-uploaded model definition and trained weight files.
+Soon, the community will be able to easily contribute different architectures!
### ImageNet
@@ -26,4 +27,6 @@ This page will be updated as more models become available.
validation accuracy 57.258% and loss 1.83948.
- This model obtains a top-1 accuracy 57.1% and a top-5 accuracy 80.2% on the validation set, using just the center crop. (Using the average of 10 crops, (4 + 1 center) * 2 mirror, should obtain a bit higher accuracy)
+### Auxiliary Data
+
Additionally, you will probably eventually need some auxiliary data (mean image, synset list, etc.): run `data/ilsvrc12/get_ilsvrc_aux.sh` from the root directory to obtain it.