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Hack4FI Similar Images Search Engine
Team: Timo and Ouz from Top Data Science & Pia from YLE
7.2.2016
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Automatically recognize similar images using machine learning
• State-of-the-art AI algorithms (deep learning)• Training on ImageNet (~1 Million images)– 2 weeks on GPU
• Hack4FI image sets used to fine-tune the system (~ 20 hours on GPU)
• Purely based on pixel values, no meta data
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Data sources:
• 1500 images• Sources:– YLE archives– Satakunnan museo– Tallinn City Museum– Suomi syö ja juo– Gallen Kallelan museo– Svenska LIteratursällskapet– Valokuvataiteen museo– Aalto University commons
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Input image (Google images)
Closest match (YLE archives)
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Input image (Google Images)
Closest match (Suomi syö ja juo)
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Input image (Google images)
Closest match (Source: Svenska litteratursällskapet)
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Input image (Google Images) Closest match (Source: Valokuvataiteen
museo I.K Inha )
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Input image (Google Images)
Closest match (Source: Svenska litteratursällskapet)
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Use cases & scenarios…Object recognition and automatic annotation/tagging
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Use cases & scenarios…Count the number of persons in images
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Use cases & scenarios…Estimate the age of persons in images
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Use cases & scenarios…Map/Group similar images with each other (clustering)
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Top Data Scientist at your service…
• Image Analysis & Understanding• Data Analytics• Software Engineering
[email protected]@topdatascience.com
http://topdatascience.com/