TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Garbage Detection System Using Image Processing

With the constant urbanization of societies and the increasing amount of waste generated, traditional waste management techniques are becoming less relevant as they do not meet the requirements of ...
IEEE

Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing

Abstract: Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically ...
GitHub

Multi-model YOLO testing and comparison framework for object detection.

Test and compare multiple YOLO versions (YOLO8, YOLO9, YOLO10, YOLO11, YOLO12, YOLO26) with support for critical object marking, multi-GPU acceleration, and batch processing across diverse hardware ...