Smart Aesthetic Scoring for Better Photography

Image Aesthetics Scoring Engine

The developed engine gets the image and outputs a score showing the amount of the beauty inside the image! The code is working on Android/iOS platform,
The engine speed is about 100-200 ms which makes it suitable for a real-time engine. The core exploits GPU to compute aesthetic features from the image, and estimate the aesthetic score.

Mirzakhani, Maryam: The only women who won Fields Medal in math

Maryam Mirzakhani was first women to win maths' Fields Medal also a mother and professor at Stanford university. She would be in our mind forever.

in Farshid Farhat 's Twitter

Deep Learning in Penn State

Integrating Deep-learned Models and Photography Idea Retrieval

ABSTRACT: Retrieving photography ideas corresponding to a given location facilitates the usage of smart cameras, where there is a high interest among amateurs and enthusiasts to take astonishing photos at anytime and in any location. Existing research captures some aesthetic techniques such as the rule of thirds, triangle, and perspectiveness, and retrieves useful feedbacks based on one technique. However, they are restricted to a particular technique and the retrieved results have room to improve as they can be limited to the quality of the query. There is a lack of a holistic framework to capture important aspects of a given scene and give a novice photographer informative feedback to take a better shot in his/her photography adventure. This work proposes an intelligent framework of portrait composition using our deep-learned models and image retrieval methods. A highly-rated web-crawled portrait dataset is exploited for retrieval purposes. Our framework detects and extracts ingredients of a given scene representing as a correlated hierarchical model. It then matches extracted semantics with the dataset of aesthetically composed photos to investigate a ranked list of photography ideas, and gradually optimizes the human pose and other artistic aspects of the composed scene supposed to be captured. The conducted user study demonstrates that our approach is more helpful than the other constructed feedback retrieval systems.

Your iCloud storage is almost full.

Apple recently sends the following emails to make us upgrade! As you see in my screenshot I have nothing to backup, but my iPhone fills the...