Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing, model inference, and visualization tools for ...

The future of data classification isn't just about categorizing data—it's about understanding it in all its complexity and context.

We conclude that CQ-CNN architecture-like models, with further improvements in gradient optimization techniques, could become a viable option and even a potential alternative to classical models for ...

This research delves into the precise classification of handwritten numerical data using a Convolutional Neural Network (CNN) model. A pivotal preprocessing step, namely resizing the dataset images to ...

The single-trial P300 classification algorithm based on a centralized multi-person data fusion CNN proposed in this paper can be applied to online P300-cBCI systems, providing a new idea for building ...