真实值数据应用
经过标注与训练的图像和视频真实值数据的应用
标注的训练数据是许多应用的基石，使算法能够学习并做出准确的预测或分类。应用范围广泛，包括监督学习、目标检测、异常检测、文本和图像分类、语义分割、推荐系统、语音识别和医疗诊断等。
主题
- Training Data for Object Detection and Semantic Segmentation
Create training data for object detection or semantic segmentation using the Image Labeler or Video Labeler.
- Datastores for Deep Learning (Deep Learning Toolbox)
Learn how to use datastores in deep learning applications.
- Get Started with SOLOv2 for Instance Segmentation
Perform multiclass instance segmentation using SOLOv2 and deep learning.
- Get Started with Image Preprocessing and Augmentation for Deep Learning
Preprocess data for deep learning applications with deterministic operations such as resizing, or augment training data with randomized operations such as random cropping.
