Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel ...

Environmental images often contain mixed elements, such as forests bordering water bodies or urban areas with vegetation, which complicates the classification task. In this paper, we propose a novel ...

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

This project focuses on classifying images of various agricultural crops, such as wheat, rice, corn, soybeans, and potatoes. Using Teachable Machine, users can easily train models to identify and ...

This research develops a yarn classification system using machine learning with Teachable Machine and Python embedded in a Raspberry Pi-4. The system classifies four categories of yarn: Good, Striped, ...

Android app that uses a TensorFlow Lite model for image classification of common objects, trained through Google's Teachable Machine. - Issues · IJ-Apps/Image-Classification-App-with-Teachable-Machine ...

Teachable Machine supports models based on images, sounds, and poses. You can use the webcam to capture images or uploading existing image files from your machine.