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Deploying vision models to the edge: quantization and latency
Training a computer vision model and deploying that model on a real device are two different engineering disciplines. A network that achieves excellent accuracy in a cloud notebook with a powerful GPU
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OCR in 2026: document understanding beyond plain text extraction
OCR used to mean one thing: turn pixels into characters.
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Vision-language models: teaching an LLM to see
A text-only language model receives a sequence of tokens and predicts which token should come next. A vision-language model extends that idea by converting images into representations that can partici
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How diffusion models generate images, explained with a runnable toy
Diffusion models are among the most important ideas in modern GenerativeAI and ComputerVision. They power many image-generation systems by learning a simple but powerful concept:
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Image segmentation with Segment Anything and its successors
For years, image segmentation models were trained for specific tasks. If you wanted to segment roads, tumors, vehicles, or people, you typically needed a dedicated dataset with pixel-level annotations
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Object detection today: from YOLO to open-vocabulary models
Object detection sounds simple: