Computer Vision Guide

A skill for conducting computer vision research, covering model architectures, dataset preparation, training pipelines, evaluation metrics, and common experimental protocols for image classification, object detection, and segmentation tasks.

Core Tasks and Architectures

Computer Vision Task Taxonomy

Image Classification:
  Input: Single image
  Output: Class label(s)
  Models: ResNet, EfficientNet, ViT, ConvNeXt

Object Detection:
  Input: Single image
  Output: Bounding boxes + class labels
  Models: YOLO (v5-v9), Faster R-CNN, DETR, RT-DETR