Image Category Classification
Create bag of visual words for image classification and content-based image retrieval (CBIR) systems
Classify images into categories, by generating a histogram of visual word occurrences that represent the images. Use this histogram, called a bag of visual words, to train an image category classifier.
|Image Labeler||Label images for computer vision applications|
|Video Labeler||Label video for computer vision applications|
|Bag of visual words object|
|Train an image category classifier|
|Predict image category|
|Datastore for image data|
- Get Started with the Image Labeler
Interactively label rectangular ROIs for object detection, pixels for semantic segmentation, polygons for instance segmentation, and scenes for image classification.
- Get Started with the Video Labeler
Interactively label rectangular ROIs for object detection, pixels for semantic segmentation, polygons for instance segmentation, and scenes for image classification in a video or image sequence.
- Create a Custom Feature Extractor
You can use the bag-of-features (BoF) framework with many different types of image features.
- Image Classification with Bag of Visual Words
Use the Computer Vision Toolbox™ functions for image category classification by creating a bag of visual words.