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+# Steps:
+
+This folder contains output_labels.txt and output_graph.pb
+
+THis model has retrained on classes of UFO sightings:
+  * spotlight
+  * roundworm
+  * nematode
+  
+  
+We scraped images from ufostalker website. We then found 3 most occuring classes. We wanted to have more images per class.
+
+We retrain an already existing model based on our images. the steps for those are found here:    
+        https://www.tensorflow.org/tutorials/image_retraining 
+        
+Requirements: tensorflow
+
+## Steps for UFO sightings:
+  1. Create directory structure such that images of given class are in single folder. all these folders are within main folder.
+  
+  2. Next run the steps mentioned in tutorial using retraining.py
+  
+  3. This will give you output_labels.txt and output_graph.pb
+  
+  After this you can use the model to test on a new image. Sample command is:
+  python label_image.py \
+--graph=/tmp/output_graph.pb --labels=/tmp/output_labels.txt \
+--input_layer=Placeholder \
+--output_layer=final_result \
+--image=<test_image_path>
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+nematode worm
+roundworm
+spotlight