WHY IT MATTERS: Digital Transformation
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WHY IT MATTERS: Digital Transformation
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Curated by Farid Mheir
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The world’s most valuable resource is no longer oil, but data via @TheEconomist

The world’s most valuable resource is no longer oil, but data via @TheEconomist | WHY IT MATTERS: Digital Transformation | Scoop.it

An oil refinery is an industrial cathedral, a place of power, drama and dark recesses: ornate cracking towers its gothic pinnacles, flaring gas its stained glass, the stench of hydrocarbons its heady incense. Data centres, in contrast, offer a less obvious spectacle: windowless grey buildings that boast no height or ornament, they seem to stretch to infinity.

Also read: http://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most-valuable-resource 

Farid Mheir's insight:

WHY THIS IS IMPORTANT

For a while the saying was that "If You're Not Paying for It; You're the Product" but it looks like today "If You're Not Paying for It; You're the Data". data is in fact so important today because it is essential to program the new algorithms of deep learning. Those that have plenty of Data - Facebook, Google, Apple, UBER, Tesla - will be able to have better software and thus hopefully better products.

Thus, you are the data. Think about it next time you use a computer or mobile phone...

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This YouTube #Dataset can be used to train #AI to recognize planes in a #video 

This YouTube #Dataset can be used to train #AI to recognize planes in a #video  | WHY IT MATTERS: Digital Transformation | Scoop.it

YouTube-BoundingBoxes is a large-scale data set of video URLs with densely-sampled high-quality single-object bounding box annotations.

The data set consists of approximately 380,000 15-20s video segments extracted from 240,000 different publicly visible YouTube videos, automatically selected to feature objects in natural settings without editing or post-processing, with a recording quality often akin to that of a hand-held cell phone camera.

All these video segments were human-annotated with high precision classifications and bounding boxes at 1 frame per second.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Training artificial intelligence systems using deep learning algorithms requires large datasets where the elements you want to recognize - cats, planes umbrellas - are already identified.

This dataset from YouTube contains 380000 videos with over 10.5M annotations to help train systems of the future. We have to remember that the more data is available for training the better the system will perform. Nevertheless, this is interesting as is shows a little bit of the behind the scene in AI and helps understand a bit more how good AI systems will be - or when they may fail.

Additional datasets are available from google here: https://research.google.com/research-outreach.html#/research-outreach/research-datasets 

Recently, Google announced an 8M YouTube video dataset to help spark research: https://research.google.com/youtube8m/ 

GROW.'s curator insight, March 6, 2017 6:28 AM

AI on plane recognition 

Curated by Farid Mheir
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