Use Case and High-Level Description

This is a Caffe2* version of densenet-121 model, one of the DenseNet group of models designed to perform image classification. This model was converted from Caffe* to Caffe2* format. For details see repository https://github.com/caffe2/models/tree/master/densenet121, paper https://arxiv.org/abs/1608.06993.

Example

Specification

Metric	Value
Type	Classification
GFLOPs	5.723
MParams	7.971
Source framework	Caffe2*

Accuracy

Metric	Value
Top 1	74.904%
Top 5	92.192%

Performance

Input

Original model

Image, name - data, shape - 1,3,224,224, format is B,C,H,W where:

• B - batch size
• C - channel
• H - height
• W - width

Channel order is BGR. Mean values - [103.94,116.78,123.68], scale value - 58.8235294.

Converted model

Image, name - data, shape - 1,3,224,224, format is B,C,H,W where:

• B - batch size
• C - channel
• H - height
• W - width

Channel order is BGR.

Output

Original model

Object classifier according to ImageNet classes, name - fc6, shape - 1,1000,1,1, contains predicted probability for each class in logits format.

Converted model

Object classifier according to ImageNet classes, name - fc6, shape - 1,1000,1,1, contains predicted probability for each class in logits format.

Legal Information

The original model is distributed under the Apache License, Version 2.0. A copy of the license is provided in APACHE-2.0.txt.