computer-vision
Build computer vision systems using CNNs and modern architectures. Use for image classification, object detection (YOLO, Faster R-CNN), image segmentation, face recognition, and visual analysis tasks.
npx skills add majiayu000/claude-skill-registry --skill computer-vision-jh9282026-manus --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Computer Vision Build computer vision systems for image classification, object detection, and visual analysis. ## Overview Computer vision enables machines to interpret and understand visual information. This skill covers CNNs, object detection, segmentation, and modern vision architectures. ## Quick Reference | Scenario | Recommended Approach | Reference File | |----------|---------------------|----------------| | Image classification | CNNs (ResNet, EfficientNet, ViT) | `/references/classification.md` | | Object detection and localization | YOLO, Faster R-CNN, RetinaNet | `/references/object-detection.md` | | Pixel-level segmentation | U-Net, Mask R-CNN, DeepLab | `/references/segmentation.md` | ## Core Principles 1. **Convolutional Layers** - Extract spatial features hierarchically 2. **Transfer Learning** - Use pre-trained models on ImageNet 3. **Data Augmentation** - Increase robustness through transformations 4. **Multi-Scale Processing** - Detect objects at different sizes 5. **End-to-End Learning** - Train entire pipeline jointly ## Key Tasks ### Image Classification Assign label to entire image. **Architectures:** - ResNet: Residual connections for deep networks - Effici
- Overview
- Quick Reference
- Core Principles
- Key Tasks
- Image Classification
- Object Detection
- Image Segmentation
- Using the Reference Files
- Best Practices
- Common Pitfalls to Avoid
What does the computer-vision skill do?
Build computer vision systems using CNNs and modern architectures. Use for image classification, object detection (YOLO, Faster R-CNN), image segmentation, face recognition, and visual analysis tasks.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill computer-vision-jh9282026-manus --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.