Update README.md

README.md

@@ -12,7 +12,7 @@ The figure below illustrates a typical input image and a few resulting output im
 > *Original aerial images obtained from [National Agriculture Imagery Program (NAIP) database](https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/)*
 
 ## Training
-Training was performed on labeled 300 x 300 pixel images that were chipped from the original 5978 x 7648 pixel aerial images from the [National Agriculture Imagery Program (NAIP) database](https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/). Each image contained at least one wind turbine which was labeled using [LabelImg](https://github.com/tzutalin/labelImg). A few of the labeled images are shown below. In total, 488 images were used for training. This training set included wind turbines of different capacity, manufacturer, and design.
+Training was performed on labeled 300 x 300 pixel images that were chipped from the original 5978 x 7648 pixel aerial images from the [National Agriculture Imagery Program (NAIP) database](https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/). Each image contained at least one wind turbine which was labeled using [LabelImg](https://github.com/tzutalin/labelImg). A few of the labeled images are shown below. In total, 392 images were used for training and 80 for testing. This training set included wind turbines of different capacity, manufacturer, and design.
 ![](/READMEimages/train_01.png) ![](/READMEimages/train_02.png) ![](/READMEimages/train_03.png) ![](/READMEimages/train_04.png) ![](/READMEimages/train_05.png) ![](/READMEimages/train_06.png)
 
 ## Validation
@@ -25,5 +25,13 @@ Finally, the trained model is applied to large NAIP images covering a 4 mile by
 
 ![](/READMEimages/NAIP_01.png) ![](/READMEimages/NAIP_02.png)
 
+*Locations of a sample set of detected wind turbines*
+
+| (latitude, longitude) | (latitude, longitude) | (latitude, longitude) |
+| ------------- | ------------- | ------------- |
+|(42.62258, -94.81749)|(42.60538, -94.79803)|(42.60152, -94.79103)|
+|(41.28510, -94.78513)|(41.27862, -94.76478)|(41.28231, -94.74973)|
+|(42.60798, -94.79403)|(42.57709, -94.80176)|(42.60988, -94.81421)|
+
 Launch the notebook in Google Colab by clicking on this badge: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/lbborkowski/wind-turbine-detector/blob/master/WindTurbineDetector.ipynb)
 > *After launching the notebook, verify that "Python2" and "GPU" are selected for the "Runtime type" and "Hardware accelerator" in Runtime -> Change runtime type.*