Challenges in Image Annotation

Fueled by advancements and breakthroughs in Computer Vision, it is now possible to visualize, detect and track anything in real-time. Enormous amounts of images are fed into deep learning architecture, which was inspired by the human brain, in order to comprehend the features of a subject. It requires a significant amount of computation to extract features from such a large collection of images and videos.

Integrating Death by Captcha to automate testing of web pages with captcha

We are all familiar with CAPTCHA — acronym for “Completely Automated Public Turing test to tell Computers and Humans Apart”. A CAPTCHA test is designed to determine if an online user is really a human and not a bot. Through Captcha, the user is asked to perform a certain task, such as enter the text written in the image or click on the images from a set of different images that match the required criteria. CAPTCHA helps protect you from spam and password decryption by asking you to complete a simple test that proves you are human and not a computer trying to break into a password protected account.

Going NoSQL

NoSQL database offer great power to developers and organizations in form of fluidity of data definition and data structure. However like any other transition, moving from relational databases to NoSQL also requires a mindset shift and if you do not stop thinking relational, you may land in more problems than the one you are trying to solve by using NoSQL. This post tries to provide some pointers to catalyze such transition.