Blog - SentiSight.ai
January 23, 2022

Top 5 Image Annotation Tools and Their Use Cases

Image annotation is a process of classifying images and creating labels to describe objects within them. It is a crucial stepping stone in a supervised machine learning project because the quality of the initial data determines the quality of the final model. A mislabeled image could lead to the model getting trained incorrectly, consequently producing undesirable results. To develop a neural network model well, data scientists are collecting vast amounts of data that contains hundreds of images. Therefore, labeling all of them correctly is a tedious, resource-heavy and lengthy process. The more people are working on the same project annotating, the more confusing it can get. Images can get duplicated, mislabeled or not labeled at all. Therefore, having a good management system is a must. To make the image annotation process more efficient programmers have developed numerous data labeling tools that allow for quicker and more precise annotation. One of these powerful tools, called SentiSight.ai is being offered by us.
December 6, 2021

Computer Vision Applications in Agriculture

Computer vision is a subfield of artificial intelligence rapidly changing the world around us. Its main goal is to process, analyze and interpret visual data just like the human brain can. 
October 11, 2021

Labeling within the company

users. This article will guide you through the labeling processes within our company, showcasing how the platform can be used to solve real-world problems.
September 1, 2021

Image annotation project management using SentiSight.ai

Image labeling, also commonly known as image annotation, is one of the most important processes when working in the Artificial Intelligence field. It is the stepping […]
August 4, 2021

The use of AI Image Recognition in Medicine

It is hard to imagine the field of modern medicine without the development and harnessing of technology. X-rays, MRIs and other solutions have been widely utilized in various medical fields to improve diagnosis accuracy and efficiency, whilst also minimizing instances of human error. 
July 1, 2021

3 ways to deploy SentiSight.ai models

Users of SentiSight.ai are able to train a variety of image recognition models of their choice, but deploying these models correctly can often be a tricky decision. At SentiSight.ai we are offering three options to use the model you have trained.
June 3, 2021

The Evolution of Object Detection

Even though object detection seems like an innovative computer vision technology, it has been all around us since the early 1960s. Its first applications included character pattern recognition systems in office automation related tasks, assembly and verification processes in the semiconductor industry that directly contributed to various countries’ economic development.
May 19, 2021

New SentiSight.ai features and changes

The most prominent change is to our subscription model with the introduction of a pay-as-you-go wallet system that allows users to pay for only what they use on the platform. Other exciting operational changes and features include the possibility to retrain a whole image classification network that allows more accurate models for large data sets, introduction of the object detection model building as a tool available to be used for all users, as well as changes to the capabilities of REST API operations.
May 13, 2021

Deep Dive: Role of Image Recognition in Defect Detection

Since the dawn of the industrial era, innovations in machinery and technology have helped manufacturers to increase efficiency, reduce production costs and standardize quality at a vast scale. However, the diminishing human involvement in the production process has reduced the manufacturers’ ability to spot defective goods or products before they reach the final consumer.
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