In this Building with Watson presentation, learn how to train a classifier to identify images relevant to you and your company. View the on-demand version of the demonstration and listen to the Q&A with our Watson Vision engineers. http://www.ibm.com/watson/building-with-watson-webinar.html
6. #BuildingWithWatso
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Think of yourself as Watson Vision’s Coach
• Provide example training images that are similar to the
images you plan to analyze
• If training the classifier "tiger", might be less accurate if
you provide only images of tigers in a zoo taken by a
mobile phone if you want to test the classifier on
images of tigers in the wild taken by professional
photographers.
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More guidelines for good training
• If the quality and content of training data is the same,
then classifiers that are trained on more images will
generally be more accurate
• The benefits of more images plateaus ~5000 images
• Recommend 150-200 images per .zip file for good
balance between training time and improvement to
accuracy
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Guidelines for high volume custom
classifying• Include approximately the same number of images in
each examples file
• Resize images to be no larger than 320 pixels in either
width or height. Images do not need to be high
resolution.
• Submit images in batches as compressed (.zip) files.
• Parallelize by groups of images, not groups of
classifiers
• Specify only the classifiers you want results for in the
classifier_ids parameter.
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Watson Developer Conference
What: IBM Watson’s first-ever developer conference to engage with our
growing developer community, reveal upcoming technology launches and foster
an environment for idea sharing, innovation and development.
When: November 9, 2016
Where: Innovation Hangar, San Francisco, CA
Who: Developers (come one, come all)
Why:
⎻ Connect with like-minded people
⎻ Get expert feedback
⎻ Hear from thought leaders and experts in this space
⎻ Influence the future of cognitive computing
Register now
http://www.ibm.com/watson/developer-conference/index.html