Question number 2: “What color is the jacket of the woman with the red glasses and where can you find her in the video?”
This question aims to test the accuracy of Gemini 1.5 in identifying specific details about people in a video.
The green stone was located at minute 19:30 in the video.
The woman with red glasses and wearing a yellow jacket was uganda number dataset found at the time marks 27:18 and 28:36 .
These results demonstrate how effective Gemini 1.5 is at extracting and accurately processing visual and contextual information from a video. The large context window allows the model to remember details and accurately attribute them over a longer period of time.
The multimodal capabilities of Google Gemini 1.5
This model brings with it not only impressive attention in text processing, but also an ability to analyze multimodal data. But what exactly does "multimodal" mean in this context, and what doors does this technology open?
Multimodality in AI refers to the ability of a model to understand and integrate information from different data sources and types. This includes text, images, videos, and in some cases audio data. A multimodal AI model can therefore not only process written queries, but also interpret and link content from visual and auditory media.
The multimodal capabilities of Google Gemini 1.5
Not only can it process large amounts of text, but it can also analyze content from videos up to an hour long. This ability allows Gemini 1.5 to perform deeper and more comprehensive analysis by combining and understanding context from different sources.
A practical example of applying its multimodal capabilities is identifying specific scenes in a video based on visual elements described in a text query. For example, Gemini 1.5 can find a scene in a movie where a green rock is shown, even if that rock is never mentioned verbally in the video.
Areas of application of multimodal skills
The applications for such a powerful multimodal AI model are almost limitless. Here are some areas where Gemini 1.5 could have a significant impact:
Media and entertainment: The fast and precise analysis of films, series and videos to create summaries, indexes or to identify specific content.
Research and education: The processing of teaching materials in different formats to make complex knowledge accessible and understandable.
Security and surveillance: Analyzing surveillance video to identify specific events or objects, saving time and increasing security.
Customer service and marketing: Evaluating customer feedback in the form of text, images and videos to gain deeper insights into customer wishes and needs.