This study develops tomato disease detection methods based on deep convolutional neural networks and object detection models. Two different models, Faster R-CNN and Mask R-CNN, are used in these methods, where Faster R-CNN is used to identify the types of tomato diseases and Mask...
How To Recognize Different Object Types. Learn more about image processing, object recognition, object detection, image segmentation, classification, cell detection Image Processing Toolbox
Machine learning (ML) is a type of artificial intelligence (AI) that helps computers to learn and improve through experience. It use algorithms to assess data, learn from it, and come to predictions. ML models improve with exposure to more data. ML algorithms are classified into various catego...
Software testing models provide structured approaches to ensure systematic and effective testing throughout the software development life cycle. Some commonly used testing models include: V-Model The V-Model is a development and testing approach that pairs each stage of the development process with corr...
I want to do object detection on a lot of categories, I prepared data with labeled them and try to fine-tuning the model based on yolo11x. Then I met the following error: RuntimeError: Dataset 'yolo/train.yml' error ❌ '194-class dataset requires class indices 0-193, but you have...
Common deep learning models Convolutional Neural Networks (CNNs) are for processing grid-like data such as images. CNNs are powerful for tasks like image classification, object detection, and even playing games. Recurrent Neural Networks (RNNs) are suited for sequential data like time series or ...
Yes, many programming languages allow users to define their own custom data types. This enables the creation of complex structures and abstractions tailored to specific requirements or domain models. Are there any data types specifically designed for handling dates and times?
Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adve...
True 3D models are stored in a 3D Body object, automatically sized to the smallest rectangular prism that encloses that model. The term 3D Body refers to the rectangular prism that encloses the true 3D model, not the shape of the true 3D model that it holds. The Component Clearance ...
Delete Amazon SageMaker resources like endpoints, configurations, models, notebook instances, S3 buckets, and CloudWatch log groups to avoid charges. February 25, 2025 Next topic:Classify objects in a 3D point cloud with object detection Previous topic:Label 3D Point Clouds Need help? Try AWS re...