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Multimodal Models and Computer Vision: A Deep Dive
In this post, we discuss what multimodals are, how they work, and their impact on solving computer vision problems.
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Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial
In this comprehensive tutorial, discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model. Learn how to convert object detection datasets into instance segmentation datasets, and use these models to automatically annotate your images.
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Speculating on How GPT-4 Changes Computer Vision
OpenAI released GPT-4 showcasing strong multi-modal general AI capabilities in addition to impressive logical reasoning capability. Are general models going to obviate the need to label images and train models?
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Experimenting with CLIP and VQGAN to Create AI Generated Art
SUMMARY
Combining OpenAI's CLIP model with VQGAN allows a generative network to be steered toward a text prompt by using CLIP as a scoring signal during image generation, replicating some of the behavior behind DALL-E before that model was publicly released. This post documents a series of
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