Update benchmarks/image_recognition/tensorflow/inceptionv4/README.md

Co-Authored-By: AG Ramesh <ag.ramesh@intel.com>
intel · May 29, 2019 · 701d471 · 701d471
1 parent fa55b06
commit 701d471
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/benchmarks/image_recognition/tensorflow/inceptionv4/README.md b/benchmarks/image_recognition/tensorflow/inceptionv4/README.md
@@ -23,7 +23,7 @@ other precisions are coming later.
    ```
 
 3. If you would like to run Inception V4 inference and test for
-   accuracy, you will need the ImageNet dataset. Running for online and batch inference do not require the ImageNet dataset.  Instructions for
+   accuracy, you will need the ImageNet dataset.  It is not necessary for batch or online inference, you have the option of using synthetic data instead.  Instructions for
    downloading the ImageNet dataset and converting it to the TF Records
    format and be found
    [here](https://github.com/tensorflow/models/tree/master/research/slim#an-automated-script-for-processing-imagenet-data).
@@ -268,4 +268,4 @@ other precisions are coming later.
    Latency: 63.534 ms
    Ran inference with batch size 1
    Log location outside container: <output directory>/benchmark_inceptionv4_inference_fp32_20190307_221954.log
-   ```
+   ```