February 2019
Intermediate to advanced
260 pages
6h 3m
English
Content preview from Hands-On Java Deep Learning for Computer Vision
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Labeling and defining data for localization
When labeling data, we need to follow simple binary logic. Whenever an image contains an object that belongs to a particular class that you require, it will label it as 1, and if it doesn't contain an object, it will label it 0. The following image depicts a bounding box around a car:
When it come to object localization, the labeling of the object is more difficult as we have much more information to deal with.
Consider that Pc simply denotes whether this image has any of the classes we want to predict. If it's 1, this means that we have one of the classes we want to predict, and 0 means we don't ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.