Senior Computer Vision
alirezarezvani/claude-skills/engineering-team/skills/senior-computer-visionby alirezarezvani19392f7a0826No license27K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 weeks ago
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/computer_vision_architectures.md | 16 KB | text/markdown |
| references/object_detection_optimization.md | 22.1 KB | text/markdown |
| references/production_vision_systems.md | 33.4 KB | text/markdown |
| references/reference-docs-and-commands.md | 2.5 KB | text/markdown |
| scripts/dataset_pipeline_builder.py | 64 KB | text/plain |
| scripts/inference_optimizer.py | 20.9 KB | text/plain |
| scripts/vision_model_trainer.py | 20.8 KB | text/plain |
| SKILL.md | 12.6 KB | text/markdown |
Source and attribution
Source:alirezarezvani/claude-skillsinengineering-team/skills/senior-computer-visionat commit19392f7
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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