Image AI, also known as visual recognition, refers to the use of artificial intelligence and machine learning techniques to analyse and understand digital images and videos. It involves the training of models to automatically identify patterns, objects, and features within images and videos. On Pulsar our Image AI enhances your ability to process and interpret visual information present in diverse datasets, particularly via vertical image classification. This enables brands across various sectors and use cases to efficiently analyse visual content, extract insights about customer preferences, and gain an understanding of the type of visual content that their target audience associates with their brand.

In addition to general image tagging, which is trained to analyse and classify a variety of concepts and common objects, we currently offer the following Vertical Image AI model on TRAC: Logo Detection

This model is capable of detecting the presence and location of brand logos in images, catalog and white backgrounds, as well as in user generated content (UGC) images. Please note that the model will not be able to detect logos outside the companies and industries that it was trained on.

The Image caption model is a high quality general image analysis model operating off a powerful modern LLM. The Image caption model finds detail within your images and adds a caption label to them to allow you to identify and filter on the content of your images. Image Captions surface across the platform any place you might see the image including the feed or content charts.

Firstly, you'll need to enable your desired Image AI analysis at Search Setup as shown below.

Once an image analysis model has been selected and enabled in a Search, you will be able to see the concepts identified in each image in the Content section under Image

In the Content section, we also visualise the top image captions, segmented and organised into a network. The chart displays related images grouped together into distinct segments. By using this chart, you can distinguish different images that are associated with your brand, campaign, or a specific subject. Our clustering algorithm analyses each image segment and determines the relevance and importance of each image within it helping you to uncover the dominant and most important visual themes present in a given dataset.

Lastly, you can find the caption of any image when in the Feed Results,

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