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 <p>There is only biased feature vector clustering and probabilistic thresholding.</p>
 <h2>If you don't have data, you don't have a product.</h2>
 <p>Yesterday's <a href="https://www.reuters.com/article/us-microsoft-ai/microsoft-turned-down-facial-recognition-sales-on-human-rights-concerns-idUSKCN1RS2FV">decision</a> by Brad Smith, CEO of Microsoft, to not sell facial recognition to a US law enforcement agency is not an about face by Microsoft to become more humane, it's simply a perfect illustration of the value of training data. Without data, you don't have a product to sell. Microsoft realized that doesn't have enough training data to sell</p>
+<h2>Cost of Faces</h2>
+<p>Univ Houston paid subjects $20/ea
+<a href="http://web.archive.org/web/20170925053724/http://cbl.uh.edu/index.php/pages/research/collecting_facial_images_from_multiples_in_texas">http://web.archive.org/web/20170925053724/http://cbl.uh.edu/index.php/pages/research/collecting_facial_images_from_multiples_in_texas</a></p>
+<p>FaceMeta facedataset.com</p>
+<ul>
+<li>BASIC: 15,000 images for $6,000 USD</li>
+<li>RECOMMENDED: 50,000 images for $12,000 USD</li>
+<li>ADVANCED: 100,000 images for $18,000 USD*</li>
+</ul>
 <h2>Use Your Own Biometrics First</h2>
 <p>If researchers want faces, they should take selfies and create their own dataset. If researchers want images of families to build surveillance software, they should use and distibute their own family portraits.</p>
 <h3>Motivation</h3>
diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html
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@@ -92,6 +92,10 @@
 <li>100x100 all you need for medical diagnosis</li>
 <li>100x100 0.5% of one Instagram photo</li>
 </ul>
+<p>Notes:</p>
+<ul>
+<li>Google FaceNet used images with (face?) sizes: Input sizes range from 96x96 pixels to 224x224pixels in our experiments. FaceNet: A Unified Embedding for Face Recognition and Clustering <a href="https://arxiv.org/pdf/1503.03832.pdf">https://arxiv.org/pdf/1503.03832.pdf</a></li>
+</ul>
 <p>Ideas:</p>
 <ul>
 <li>Find specific cases of facial resolution being used in legal cases, forensic investigations, or military footage</li>