March 15, 2021
Since the dawn of artificial intelligence, image recognition has long been recognised as one of the most prosperous and beneficial utilisations of the technology. Closely linked to computer vision, image recognition is the interdisciplinary computer science field that deals with a computer’s ability to identify and understand the content within images. Nowadays, most image recognition tasks are performed by using deep learning algorithms.
March 1, 2021
On February 8th, 2021 we released a new version of our platform that introduced a text recognition pre-trained model, otherwise known as optical character recognition software. We created this short guide on what text recognition is, its history and usage scenarios, how it works and how to make the best of it on the SentiSight.ai platform.
February 8, 2021
Object detection is one of the most praised use cases of artificial intelligence. In simple terms it is an algorithm searching for objects in an image and assigning suitable labels to them. It is sometimes confused with image classification due to their similar use case scenarios. In particular, the goal of object detection is to identify the object and mark its position with a bounding box, while image classification identifies which category the given image belongs to. Needless to say, the former is more suitable for images that have a few objects of interest in them or if the object constitutes only a small part of the image. Example images below show which tool suits a picture better.
November 3, 2020
Today we are releasing a new version of our platform and we have decided to start our blog to keep you updated about the progress in our development and other related news. The most significant update of this new version is AI-assisted labeling. Some AI-assisted labeling functionalities, such as smart labeling tool, have already been part of SentiSight.ai platform, but now we are bringing those to a whole new level.
