Layouts lab 3 2 3 – templates for keynote presentation. Pixave for iPad offers astonishing tagging abilities. The contents of an image are detected to automatically create or add tags, allowing easy access for the user. To provide the most convenient environment for tagging Pixave for iPad uses 'Machine learning'. Machine learning is a technology that allow computers to learn and then use the learned knowledge to perform specific tasks, to behave more like a person than a computer. Integrated via the new, blazing fast Core ML framework, machine learning lets Pixave for iPad detect and understand various contents within images.
![Hydrocortisone Hydrocortisone](https://static.macupdate.com/screenshots/219388/m/pixave-screenshot.png?v=1571052702)
Size Number: 000: 00: 0: 1: 2: 3: 4: 5: 6: 8: 10: 12: Diameter.034.047.060.073.086.099.112.125.138.164.190.216: Hole Diameter.040.053.066.080.094.107.120.133.146.173.198. Formula (equation) for the calculation of two resistances R 1 and R 2 connected in parallel. Calculation of the necessary parallel resistor R 2, when R 1 and the total resistance R total is given.
Machine Learning Tagging Because the contents of an image are detected and tags automatically created and added, you no longer need to waste time with unnecessary actions in managing your tags.
Automatic keyword import Now keywords included in the IPTC metadata are automatically registered as tags.
Tagging by Drag and Drop Would you like to apply a number of tags to many images, all in one go? Then simply select the image and drag over to the tag. Try it now!
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Adding and searching for tags is a piece of cake. Many tags can be applied immediately to a number of images, and can be searched for along with its tag.