Abstract: Accurate object attribute recognition is crucial for intelligent robots to efficiently accomplish various tasks. However, current methods suffer from limitations such as reliance on ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

We take our understanding of where we are for granted, until we lose it. When we get lost in nature or a new city, our eyes and brains kick into gear, seeking familiar objects that tell us where we ...

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...

I installeed the pdf2docx package but found that it relies on opencv-python-headless package and the opencv-python-headless relies on the older numpy package below 2.3.0 ? Can opencv-python-headless ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

Python maintains its runaway top ranking in the Tiobe index of programming language popularity, while older languages continue to rise. Perl surprises. Python, the highest-ranking language ever in the ...

ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...

Abstract: To meet the demands of intelligent traffic control systems for high-precision vehicle object recognition, an improved recognition algorithm, YOLOv7-W, is proposed based on the YOLOv7 ...