World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
Quick integration into your workflow with minimal setup
Active open-source community with continuous updates
MIT/Apache licensed for commercial and personal use
Customizable and extendable based on your needs
Download or copy the skill file from the source repository
Place the skill file in Claude's skills directory (usually ~/.claude/skills/）。
Restart Claude or run the reload command to load the skill
Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements
All Skills from open-source community, preserving original authors' copyrights
alirezarezvani__claude-skills/engineering-team/senior-computer-vision/skill.mdProven benefits and measurable impact
Find answers faster with direct NotebookLM integration.
Source-grounded responses eliminate AI-generated inaccuracies.
Seamless workflow between Claude Code and NotebookLM.
Perfect for these scenarios
Extract insights and citations from academic papers stored in NotebookLM.
Generate concise summaries with source links from meeting transcripts.
Quickly find code examples and API references from dev notebooks.
Search legal texts for precedents with accurate citations.