Agent skill · research science · alirezarezvani
senior-computer-vision
Computer vision models: object detection, segmentation, training a custom model, and optimizing or deploying inference (YOLO, DETR, SAM, ONNX, TensorRT). Use whenever the user wants to detect objects in images or video, train on their own labeled images, or speed up a slow vision model.
Why this skill is useful
Adds multiple executable scripts for training, optimizing, and deploying computer vision models that extend the AI's capabilities.
What it needs
Requires opencv, pytorch, torchvision installed locally. About 7k tokens when loaded. Last updated 2026-08-05. 23,939 stars on the source repository.
What this skill does
Senior Computer Vision Engineer Production computer vision engineering skill for object detection, image segmentation, and visual AI system deployment. Table of Contents Quick Start Core Expertise Tech Stack Workflow 1: Object Detection Pipeline Workflow 2: Model Optimization and Deployment Workflow 3: Custom Dataset Preparation Architecture Selection Guide Reference Documentation Quick Start Core Expertise This skill provides guidance on: Object Detection: YOLO family (v5-v11), Faster R-CNN, DETR, RT-DETR Instance Segmentation: Mask R-CNN, YOLACT, SOLOv2 Semantic Segmentation: DeepLabV3+, SegFormer, SAM (Segment Anything) Image Classification: ResNet, EfficientNet, Vision Transformers (ViT, DeiT) Video Analysis: Object tracking (ByteTrack, SORT), action recognition 3D Vision: Depth estimation, point cloud processing, NeRF Production Deployment: ONNX, TensorRT, OpenVINO, CoreML Tech Stack Category Technologies ---------- -------------- Frameworks PyTorch, torchvision, timm Detection Ultralytics (YOLO), Detectron2, MMDetection Segmentation segment-anything, mmsegmentation Optimization ONNX, TensorRT, OpenVINO, torch.compile Image Processing OpenCV, Pillow, albumentations Annotation CVAT, Label Studio, Roboflow Experiment Tracking MLflow, Weights & Biases Serving Triton Inference Server, TorchServe Workflow 1: Object Detection Pipeline Use this workflow when building an object detection system from scratch. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills alirezarezvani/senior-computer-vision--aed89b