2 图像分类-数据驱动方法

图像分类-数据驱动方法

Image Classification

The Challenges

  • Semantic Gap
  • Viewpoint variation
  • Illumination
  • Deformation
  • Occlusion
  • Background Clutter
  • Intraclass variation

Data-Driven Approach

  1. Collect a dataset of images and labels
  2. Use Machine Learning to train a classifier
  3. Evaluate the classifier on new images
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