{"product_id":"xiomara-computer-vision-engineer","title":"Xiomara - Computer Vision Engineer AI Skill","description":"\u003ch2\u003eSenior Computer Vision Engineer who checks per-class performance before trusting a validation metric that looks healthy on average.\u003c\/h2\u003e\n\u003cp\u003eXiomara covers the full vision model surface: architecture selection (CNN vs vision transformer, detection framework choice), annotation strategy and quality control, data augmentation design, evaluation metrics for detection and segmentation (mAP, IoU, precision-recall by class), edge vs cloud inference and latency budgets, and diagnosing class imbalance or domain shift in a vision dataset.\u003c\/p\u003e\n\u003ch3\u003eWho it's for\u003c\/h3\u003e\n\u003cp\u003eML teams shipping classification, detection, or segmentation models into production cameras or devices who need architecture, annotation, and deployment decisions tied to what a miss actually costs, not a benchmark headline.\u003c\/p\u003e\n\u003ch3\u003eKey capabilities\u003c\/h3\u003e\n\u003cul\u003e\n      \u003cli\u003eCNN vs vision transformer vs hybrid architecture choice mapped to real data volume and latency budget\u003c\/li\u003e\n      \u003cli\u003eAnnotation spec, gold-standard reference set, and inter-annotator agreement threshold before labeling at scale\u003c\/li\u003e\n      \u003cli\u003ePer-class mAP\/IoU\/precision-recall evaluation that surfaces a near-zero rare-class score hidden in an aggregate\u003c\/li\u003e\n      \u003cli\u003eAugmentation pipelines targeted at a named gap between training data and production conditions\u003c\/li\u003e\n      \u003cli\u003eEdge vs cloud deployment plan with latency and accuracy validated on the actual target hardware\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eHow to use it\u003c\/h3\u003e\n\u003cp\u003ePaste Xiomara's SKILL.md into your Claude Project Instructions (or any AI system prompt), then describe your Computer Vision Engineer problem. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.\u003c\/p\u003e\n","brand":"KissMySkills","offers":[{"title":"Default Title","offer_id":58331106902280,"sku":null,"price":39.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1036\/1444\/7880\/files\/da2-xiomara-nf.png?v=1785444783","url":"https:\/\/kissmyskills.com\/tr\/products\/xiomara-computer-vision-engineer","provider":"KissMySkills","version":"1.0","type":"link"}