Learn more about technology - SentiSight.ai

Learn more about technology

July 1, 2021
3 ways to deploy SentiSight.ai models

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

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.
April 29, 2021
Online image labeling annotation

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.
April 13, 2021
Human pose estimation

Human Pose estimation using SentiSight.ai

Human pose estimation, is defined as the localization of major human joints such as elbows, knees, wrists, etc.It continues to be one of the most popular research areas regarding computer vision tasks.
March 30, 2021
Image recognition using AI

Image recognition: Choosing the right AI model for your project

SentiSight.ai offers three different image recognition model types, single-label classification, multi-label classification and object detection, all of which have similarities as well as differences, with each of them excelling at different types of tasks. While the three models can be used to classify the content within images, the approach they undertake is dependent on the task aims and envisioned results. This article defines key similarities and differences between the 3 models, as well as providing examples of the use cases of each model, to help you to decide which model type is needed for your project requirements.
March 15, 2021
AI based image recognition

AI – based Image Recognition: 6 different Industry use cases

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.
February 8, 2021
Quickstart guide for training object detection model using SentiSight.ai

Quickstart guide for training object detection model using SentiSight.ai

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.