Image Recognition
Discover our range of immersive articles surrounding image recognition. Learn more about this topic in general, the possible use cases and how the SentiSIght.ai platform can help you build and train your very own image recognition model.
August 4, 2021
It is hard to imagine the field of modern medicine without the development and harnessing of technology. X-rays, MRIs and other solutions have been widely utilized in various medical fields to improve diagnosis accuracy and efficiency, whilst also minimizing instances of human error.
March 30, 2021
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.
