Skill overview

Exact public version

senior-computer-vision v1

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 inference, or deploying vision systems.

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SHA-256a6d14b1f5f272e2522c6f89e6ecd6d91f63fc8daf65df9dd6b5624920d6df676
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8 files

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 inference, or deploying vision systems.

Manifest SHA-256c227662ef40b425c54c99cb666d2791b587143d0cedc77e0b29e492524836676
  • SKILL.md12,906 bytes
  • references/computer_vision_architectures.md16,433 bytes
  • references/object_detection_optimization.md22,641 bytes
  • references/production_vision_systems.md34,179 bytes
  • references/reference-docs-and-commands.md2,602 bytes
  • scripts/dataset_pipeline_builder.py65,583 bytes
  • scripts/inference_optimizer.py21,386 bytes
  • scripts/vision_model_trainer.py21,280 bytes