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readme.md
| name | caffemodel | caffemodel_url | license | sha1 | caffe_commit |
|---|---|---|---|---|---|
| BVLC AlexNet Model | bvlc_alexnet.caffemodel | http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodel | non-commercial | 9116a64c0fbe4459d18f4bb6b56d647b63920377 | 709dc15af4 |
This model is a replication of the model described in the AlexNet publication.
Differences:
- not training with the relighting data-augmentation;
- initializing non-zero biases to 0.1 instead of 1 (found necessary for training, as initialization to 1 gave flat loss).
The bundled model is the iteration 360,000 snapshot. The best validation performance during training was iteration 358,000 with 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.)
License
The data used to train this model comes from the ImageNet project, which distributes its database to researchers who agree to a following term of access: "Researcher shall use the Database only for non-commercial research and educational purposes." Accordingly, this model is distributed under a non-commercial license.