One of the lesser known application of data mining from images is satellite imagery. Mostly because it services businesses more than  consumers. However, the combination of much larger pools of available images and advances in neural networks has made it one of the most promising and exciting field of visualContinue Reading

With an estimated 1.2 trillion photos taken in 2015, it is no wonder that most vanish in the deep grooves of some remote hard drive. And while it takes on a few fractions of a second to capture a photo, it seems to  take an eternity ( along with herculeanContinue Reading

The 2015 year ends pretty much as it started. Some promises were delivered, some fell short. At least for now. With mobile continuing to dominate as the number one gateway to the online experience and visual being its strongest appeal, one would have thought that visual tech would have explodedContinue Reading

Our relationship with the camera, the lens and the image is evolving. The static stance of capturing a moment in a photograph is still there, but this is rapidly changing. With the help of new emerging technologies, photography is becoming ubiquitous and pervasive. The advent of machine vision, deep learning,Continue Reading

While big companies like Google, Yahoo, Microsoft, Facebook pour millions into visual content recognition in order to make sense of the billions of images uploaded to their services, smaller companies offer the same solutions to anyone interested in using deep learning to classify images and videos automatically. Straight out ofContinue Reading

Facial recognition  has been around for a while. At first and for a long time, it was only used for auto-tagging familiar faces on social media and in photo albums. Meanwhile, security agencies and law enforcement found that it could become an invaluable tool in their ongoing battle against crime fuelingContinue Reading