How Good Is Bing (GPT-4) Multimodality?
Blog post from Roboflow
GPT-4's multimodal capabilities, integrated into Bing Chat, have shown varied results in handling text and image inputs, indicating potential for consumer use but limitations for industrial applications. While the model demonstrates strength in qualitative tasks such as image captioning and understanding contextual nuances between image elements, quantitative tasks like precise object counting and data extraction reveal inconsistencies and inaccuracies. Tests conducted using datasets for counting people, detecting apples, and classifying images from ImageNet highlighted both successes and challenges, with Bing Chat performing better on qualitative assessments than on extracting structured quantitative details. The current state of GPT-4's multimodal features suggests it is more suited for general consumer applications rather than replacing specialized computer vision models, which still excel in specific tasks. The technology's future potential lies in enhancing zero-shot image-to-text applications and general image categorization, potentially transforming how multimodal tools are incorporated into broader computer vision workflows.