diff options
| author |  Mingxing Tan <tanmingxing@google.com> | 2018-09-21 17:58:20 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-09-21 18:02:41 -0700 |
| commit | 8469e314dae2c177c116bd17e38991c9a32bf418 (patch) | |
| tree | c236ed3287b9f68e080d1d5fdfe532f4b1087f67 /tensorflow/contrib/lite/g3doc | |
| parent | 0e220a53b7c4b9ad6dd14a3bfa0ab52f6105b7cf (diff) | |
Release MnasNet models.
PiperOrigin-RevId: 214072562
Diffstat (limited to 'tensorflow/contrib/lite/g3doc')
| -rw-r--r-- | tensorflow/contrib/lite/g3doc/models.md | 17 |
1 files changed, 17 insertions, 0 deletions
diff --git a/tensorflow/contrib/lite/g3doc/models.md b/tensorflow/contrib/lite/g3doc/models.md index a4267eee4c..279764ce96 100644 --- a/tensorflow/contrib/lite/g3doc/models.md +++ b/tensorflow/contrib/lite/g3doc/models.md @@ -1,6 +1,23 @@ # List of Hosted Models +# AutoML mobile image classification models (Float Models) + +Model Name | Paper_Model_Files | Model_Size | Top-1 Accuracy | Top-5 Accuracy | TF Lite Performance^ +------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | ---------: | -------------: | -------------: | ---------------------: +MnasNet_0.50_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_0.5_224_09_07_2018.tgz) | 8.5 Mb | 68.03% | 87.79% | 37 ms +MnasNet_0.75_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_0.75_224_09_07_2018.tgz) | 12 Mb | 71.72% | 90.17% | 61 ms +MnasNet_1.0_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_224_09_07_2018.tgz) | 17 Mb | 74.08% | 91.75% | 93 ms +MnasNet_1.3_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.3_224_09_07_2018.tgz) | 24 Mb | 75.24% | 92.55% | 152 ms +MnasNet_1.0_96| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_96_09_07_2018.tgz) | 17 Mb | 62.33% | 83.98% | 23 ms +MnasNet_1.0_128| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_128_09_07_2018.tgz) | 17 Mb | 67.32% | 87.70% | 34 ms +MnasNet_1.0_160| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_160_09_07_2018.tgz) | 17 Mb | 70.63% | 89.58% | 51 ms +MnasNet_1.0_192| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_192_09_07_2018.tgz) | 17 Mb | 72.56% | 90.76% | 70 ms +MnasNet_1.0_224| [paper](https://arxiv.org/abs/1807.11626), [tflite&pb](https://storage.cloud.google.com/download.tensorflow.org/models/tflite/mnasnet_1.0_224_09_07_2018.tgz) | 17 Mb | 74.08% | 91.75% | 93 ms + +^ Performance numbers are generated on Pixel-1 using single thread large BIG core. + + ## Image classification (Float Models) Model Name | Paper_Model_Files^ | Model_Size | Top-1 Accuracy | Top-5 Accuracy | TF Lite Performance^^ | Tensorflow Performance |