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
- Collect a dataset of images and labels
- Use Machine Learning to train a classifier
- Evaluate the classifier on new images