Learn more about technology - SentiSight.ai

Learn more about technology

Enhance your knowledge through reading our image recognition related articles. Whether it is discovering use-cases for this niche, or new pre-trained models that are available for use, we have many interesting articles to read.

December 6, 2021
Computer vision application in agriculture

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. 
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.
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 15, 2021
AI based image recognition

AI Image Recognition Use Cases: 6 Different Industry Examples

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.
AI Image Recognition Use Cases: 6 Different Industry Examples
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