2021-05-13
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.
2021-04-29
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.
2021-03-30
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
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.
