This project is an object detection system that leverages the SSD MobileNet V3 model to detect objects in images and videos. It includes a Python-based API for model inference and a Java-based web ...

Some indiviauls in my cohort at Fullstack were having similar issues, and our instructors offered a smaller 60,000 row dataset, however, one of the biggest reasons I selected this Capstone project was ...

Harnessing the power of the Hailo-8L AI accelerator on a Raspberry Pi 5, this system delivers blazing-fast pose estimation using YOLOv8 at 30 FPS. It detects human falls in real time, captures ...

Abstract: In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, particularly ...

Abstract: Object detection methods using deep convolutional neural networks (CNNs) have derived major advances in normal images. However, such success is hardly achieved with adverse weather due to a ...

We clamber 15 feet down a steep embankment into a swimming pool-size pit. Two hollows in the ... He points to a whitish object resembling a snapped pencil that’s embedded in the ledge.

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...