Computer Vision
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
npx skills add majiayu000/claude-skill-registry --skill computer-vision-aj-geddes-useful-ai-prompts --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 ## Overview Computer vision enables machines to understand visual information from images and videos, powering applications like autonomous driving, medical imaging, and surveillance. ## When to Use - Image classification and object recognition tasks - Object detection and localization in images - Semantic or instance segmentation projects - Pose estimation and human activity recognition - Face recognition and biometric systems - Medical imaging analysis and diagnostics ## Computer Vision Tasks - **Image Classification**: Categorizing images into classes - **Object Detection**: Locating and classifying objects in images - **Semantic Segmentation**: Pixel-level classification - **Instance Segmentation**: Detecting individual object instances - **Pose Estimation**: Identifying human body joints - **Face Recognition**: Identifying individuals in images ## Popular Architectures - **Classification**: ResNet, VGG, EfficientNet, Vision Transformer - **Detection**: YOLO, Faster R-CNN, SSD, RetinaNet - **Segmentation**: U-Net, DeepLab, Mask R-CNN - **Pose**: OpenPose, PoseNet, HRNet ## Python Implementation ```python import numpy as np import pandas as pd import matplotlib
- Overview
- When to Use
- Computer Vision Tasks
- Popular Architectures
- Python Implementation
- Common CV Architectures
- Image Preprocessing
- Evaluation Metrics
- Deliverables
What does the Computer Vision skill do?
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill computer-vision-aj-geddes-useful-ai-prompts --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.