Our data scientist Balaj explains what Active Learning is and how it’s used to achieve top performance in data labeling.
Data-related tasks consume nearly 80% of the time of AI projects. This makes them a key factor in the machine learning pipeline. Within these data-related tasks, data labeling, in particular, takes, on average, up to one-fourth of the project’s time. Just like the...
One of the most common idioms in the domains of Data Science, AI and Machine Learning is “Garbage in, garbage out”. It's a simple sentence on the surface. It, however, elegantly captures one of the most pressing issues of the domains mentioned above. It implies that...
At Ango AI, we are laser-focused on annotating data. Often, this data is scraped from the Web. This article will give you a primer on how web scraping works.
We have closed our first investment round, raising capital from our lead investor 500 Startups, and from QNBEYOND Ventures.
One of the most important and popular forms of annotation is Image annotation, however the details of it are often elusive. This article aims to clarify its different types, their use-cases and the way our platform can help your project in this domain.