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
posted @
2020-08-03 08:56
JHadoop
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