Latest AI News December 2025 - SentiSight.ai
2021-03-30
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.
2021-03-15
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.
2021-03-01
Optical text recognition / Text Recognition

Optical Character Recognition Using SentiSight.ai

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.
2021-02-08
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.
2020-11-03
AI-assisted Image Labeling

AI-assisted Image Labeling with SentiSight.ai

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.
AI-assisted Image Labeling with SentiSight.ai
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