A Two-Stage Braille Recognition System Using YOLOv8 for Detection and CNN for Classification
Automatic recognition of Braille characters remains a challenge in the field of computer vision, especially due to variations in shape, size, and lighting conditions in images.
Tan Valencio Yobert Geraldo Setiawan +1 more
doaj +1 more source
Siamese Model-Based Face Verification Using CNN and MobileNetV2
Face verification plays an important role in computer vision, especially in mobile and embedded systems with limited computational capacity. This study proposes a face verification system based on the Siamese Neural Network (SNN) architecture by ...
Abd Rahman, Agus Mohamad Soleh, Erfiani
doaj +1 more source
KLASIFIKASI EMPAT TANAMAN OBAT MENGGUNAKAN ARSITEKTUR MOBILENETV2
Indonesia memiliki sekitar 30 ribu jenis tanaman dengan 7000 diantaranya dapat digunakan sebagai bahan untuk pengobatan tradisional. Metode pengenalan tanaman obat secara manual sangat bergantung pada pengetahuan individu, hal ini rentan terhadap kesalahan.
Dyen D. Parsaulian +3 more
openaire +1 more source
Waste Image Classification Using Fine-Tuned MobileNetV2 under Imbalanced Data Conditions
Ineffective waste management is a critical global environmental issue where manual sorting is often inefficient and prone to human error. Deep Learning technology, specifically Convolutional Neural Networks (CNN), offers automated solutions to improve ...
Rahmadini Cahya Demora, Muljono Muljono
doaj +1 more source
Enhanced YOLO-based framework and benchmarking for automated Plasmodium vivax detection. [PDF]
Prathap VM, Yadav S.
europepmc +1 more source
Investigating performance and key factors for real-world deployment of grain image classification using convolutional neural networks. [PDF]
Kumari R +4 more
europepmc +1 more source
Lightweight Real-Time Navigation for Autonomous Driving Using TinyML and Few-Shot Learning. [PDF]
Ali W +4 more
europepmc +1 more source
Transformer-enhanced deep ensemble for multi-class liver disease classification using computed tomography images. [PDF]
Bhardwaj S +5 more
europepmc +1 more source
Automated Segmentation and Analysis of Histopathological Breast Cancer Images for Enhanced IDC Diagnosis and Assessment Using MobileNetV2+U-Net With Label Propagation. [PDF]
Inamdar V, Shaila SG.
europepmc +1 more source
Rice Disease Identification System Using Lightweight MobileNetV2
Zhenghua Zhang, Yifeng Gu, Qingqing Hong
openaire +2 more sources

