Art Translated for Art Movements
Have Fun While Identifying And Learning About Western Art Movements or Styles (e.g. Impressionism) Where You Are - When You Want It
You see an interesting piece of art at home or elsewhere and you wonder what it means and what is its place in art history. You grab your phone and capture an image of this art. Suddenly a world of interesting, relevant information comes to you almost magically. Do you agree with our conclusion? Did our result tell you things you didn’t notice or didn’t know? Do the experts agree? Download the app and have great fun and stimulate discussion with your friends with this fast, concise app that entertains and also informs you about Western Art history.
Be Smarter, Challenge Yourself, Impress People, Have Fun
Not only does this app identify the movements or styles of the art work but will give you information to retain and learn as well. Results are written as small bits of digestible information in ways it can be remembered. For example, we give you an artist whose style you might know from popular culture, i.e. Van Gogh, to quickly link you to the movement. Or we give a few specific words of description such as ‘squares, animals, lots of the color red’ to help you identify and remember the movement.
First the app identifies the image’s movement or other possible candidate movements. You can then click and learn more finding short guides on: how to recognize and remember the movement, why it is different and distinct, why it even started, why is it no longer popular, what artists best typify the style, what forms and materials are typically used, what did critics say about it at the time, what are interesting or unusual facts about the period and much more.
Gobbledygook On How It Works - Or Just Download It!
With a camera within the app the user takes a photograph and the app immediately analyzes the image and identifies one or multiple possible movements presented in descending order of probability if there are more than one. The user then selects the highest probability and gets information on the movement. Behind the app is the use of machine learning and the writers.