图像类别分类
创建视觉变换器或视觉词袋图像分类器
使用视觉变换器神经网络或通过生成表示图像的视觉词实例数的直方图对图像分类。
函数
主题
快速入门
- 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.
对图像进行分类
- 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.
精选示例
Train Vision Transformer Network for Image Classification
Fine-tune a pretrained vision transformer (ViT) neural network to perform classification on a new collection of images.
Image Category Classification Using Bag of Features
Use a bag of features approach for image category classification. This technique is also often referred to as bag of words. Visual image categorization is a process of assigning a category label to an image under test. Categories may contain images representing just about anything, for example, dogs, cats, trains, boats.
Image Category Classification Using Deep Learning
Use a pretrained Convolutional Neural Network (CNN) as a feature extractor for training an image category classifier.
