Computer Vision
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A Vision Model That Works on a Workstation May Not Fit on the Device
Accuracy measured on a GPU says nothing about whether the model runs at the frame rate the application needs on…
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Vision Models Did Not Replace OCR
A multimodal model reads a document and understands it. A traditional OCR engine transcribes it precisely with coordinates. Those are…
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Video Understanding Is a Frame Selection Problem
Processing every frame of an hour of footage is prohibitively expensive and mostly redundant, because consecutive frames are nearly identical.
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Building Image Generation Into Products: The Parts Tutorials Skip
Generating an image is one API call. Shipping image generation to users means queueing, moderation, provenance, cost control, and handling…
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Synthetic Training Data Amplifies the Gaps It Was Meant to Fill
Generating examples from a model that already underperforms on rare cases produces more of what it already knows, not what…
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Vision Models in Production: Where Accuracy Benchmarks Mislead You
A model with 95% benchmark accuracy routinely fails in deployment. The gap is rarely the architecture — it is lighting,…
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Your Model Is Learning Your Annotators’ Disagreements
When two labellers disagree on a fifth of examples, no architecture recovers the signal, because the ceiling is set by…
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Image Similarity Search Depends Entirely on What You Embed
The same photograph produces different neighbours depending on whether your model was trained for objects, styles, faces or text descriptions.
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