6 posts about Image Classification by 6 contributors.
Know Image Classification? Share what you know with developers who are learning it.
Build a TensorFlow Lite fruit and vegetable image classifier with MobileNetV2 and the Fruits-360 dataset. Learn to prepare data, fine-tune the model, and export it for edge-device inference.
AI models, especially those used for image classification, face performance degradation—also known as model drift—when deployed in real-world environments. Accuracy can decline by up to 15% within just three months, leading to major operational and economic setbacks.
Explore image classification with Azure: learn to build, train, and deploy AI vision solutions using Custom Vision, Computer Vision API, and Azure Machine Learning for powerful, scalable visual data insights.
In this article, we will explore the features of computer vision workloads on Azure, exploring key tasks such as image classification, object detection, semantic segmentation, optical character recognition (OCR), facial detection, and recognition, accompanied by illustrative examples.
Discover Lobe, a free machine learning application by Microsoft that simplifies model training with its intuitive GUI. Train models effortlessly, play with predictions, and export them for cross-platform use. Easy installation and promising features make it a potential ML tool.
In this article, you will learn about image classification - face detection and identification using Azure Face API Cognitive Service.
DevSocialUpcoming · 3rd editionAI Agents ConferenceNov 23–27, 2026Live onlineMembers only16days leftRegisterPublish an article in this category and earn +1,000 SHARP when it is approved.
Write an article