Blog - SentiSight.ai
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.
April 29, 2021

Image labeling using online vs offline tools

Image labeling (sometimes known as image annotation) is the process of creating a textual and visual description of the content of images. These labels / annotations are then used to train deep learning computer vision models for tasks such as object detection.
Image labeling using online vs offline tools
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