Image feature extraction is the task of extracting features learnt in a computer vision model.
About Image Feature Extraction
Use Cases
Transfer Learning
Models trained on a specific dataset can learn features about the data. For instance, a model trained on a car classification dataset learns to recognize edges and curves on a very high level and car-specific features on a low level. This information can be transferred to a new model that is going to be trained on classifying trucks. This process of extracting features and transferring to another model is called transfer learning.
https://huggingface.co/tasks/image-feature-extraction