Difference between image-level classification and pixel-level classification

The differences between image-level classification and pixel-level classification are as follows:

1. Image classification is the most basic task in computer vision, which can be divided into three categories: cross-species semantic image classification, subclass fine-grained image classification and instance-level image classification. Color is the visual feature of the surface of an object, and each object has its own unique color feature.

2. Different from the task of establishing image-level understanding for object classification, in some application scenarios, in order to obtain the classification results of image pixels, the classification results of each pixel in the corresponding position should be obtained in semantic-level image segmentation.