Python dominates computer vision with its vast array of open-source libraries and active community support. These tools handle key tasks, such as image detection, segmentation, and feature extraction.

Tired of waiting for StarNet++ to process your images? Learn how to significantly reduce processing time and generate clean, starless results faster than ever. #StarNetPlusPlus ...

RAG-PDF Assistant — A simple Retrieval-Augmented Generation (RAG) chatbot that answers questions using custom PDF documents. It uses HuggingFace embeddings for text representation, stores them in a ...

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...

AI-powered document classifier using OCR, BERT, ResNet, and LayoutLMv3 for Aadhar, PAN, Passport, and other scanned IDs. An end-to-end serverless pipeline for Intelligent Document Processing (IDP) ...

While smartphone camera hardware keeps getting better, there’s a limit to how much can be packed into a phone before it becomes oversized and bulky. Therefore, the real magic happens on the software ...

Abstract: Microvascular structural imaging is a developing technology in the field of radiology and vascular research. Most existing technologies fail to fully automate image processing of ...