October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Training the images
In this step, we will collect the images and keep them organized under the respective category of folders.
A few common steps for choosing your own dataset of images are as follows:
- First of all, we need at least 100 photos of each image category that you want to recognize. The accuracy of our model is directly proportional to the number of images in the set.
- We need to make sure we have more relevant images in the image set. For example, if we have taken an image set with a single color background, say all the objects in the images have a white background and are shot indoors and users are trying to recognize objects with distracting backgrounds (colorful backgrounds shot outdoors), this won't result in better accuracy. ...
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