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Inception-V3 Network

Models are hosted on http://data.dmlc.ml. You can download it by

wget http://data.dmlc.ml/mxnet/models/imagenet/inception-v3.tar.gz

The compressed file contains:

  • preprocessing.py: sample code for preprocessing image
  • synset.txt: prediction label/text mapping
  • Inception-7-symbol.json: symbolic network
  • Inception-7-0001.params: network parameter

This model is converted from TensorFlow Pretrained Inception-V3 model. Original licence is attached.

By single crop on 299 x 299 image from 384 x 384 image, this model is able to achieve 76.88% Top-1 Accuracy and 93.344% Top-5 Accuracy. Difference to reported accuracy may due to crop from different size of image.

This model uses different preprocessing method, sample code is provided.

Reference:

[1] Szegedy, Christian, et al. "Rethinking the Inception Architecture for Computer Vision." arXiv preprint arXiv:1512.00567 (2015).