India Today

Move over, NASA, this Jharkhand AI breakthrough could guide future space missions

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.
techxplore

Enhanced YOLO framework boosts 360-degree small-object detection to 90% accuracy

Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision ...
IEEE

Object Detection-Driven Image Captioning: Integrating YOLO with Natural Language Processing

Abstract: One important field of study that combines language processing and computer vision to produce descriptive text from images is image captioning, which uses deep learning and natural language ...
IEEE

Low-Cost FPGA-Enhanced CNN Accelerator for Real-Time YOLO Object Detection and Classification

Abstract: This work presents a low-cost FPGA-based accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...