Implementation of the MCNN-14 model for fashion image classification, achieving 93.08% accuracy on Fashion-MNIST. Based on our paper “An Efficient Multiple Convolutional Neural Network Model (MCNN-14) ...
Abstract: A unified AI-based approach in classification and grading for multiple fruits could effectively result in getting the quality of apples, bananas, and oranges, with a classification accuracy ...
Abstract: Medicinal plants have long been integral to healthcare, providing natural therapeutic compounds. With the growing interest in alternative medicine, accurate identification of these plants is ...
2025-12: Add new FaceNet models with known sources, enable MLKit for face detection and precise NN-search 2024-09: Add face-spoof detection which uses FASNet from ...
Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables ...
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