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Senior Computer Vision

Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment wit

VerifiedFreeMITv1.0.0
SKILL SCORE77Engagement score

Works with

ClClaudeNative
CoCodexPackaged
GPGPTPackaged
GeGeminiPackaged
CuCursorPackaged
OpOpenCodePackaged

Senior Computer Vision

Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing infer

Optimized workflow

This edition turns the source methodology into a repeatable agent workflow with explicit inputs, checkpoints and deliverables.

Quality standard

  • Confirm scope and missing inputs before execution
  • Ground decisions in available evidence and preserve source constraints
  • Return an actionable result with assumptions, risks and next steps

Agent compatibility

The same core method is packaged for Claude, Codex, GPT, Gemini, Cursor and OpenCode.

Permissions & security

Low risk

Source verified · conversion tested · security signals reviewed

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