├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

OMAHA, Neb. (AP) — Creighton announced a $300 million facilities project Thursday that will encompass 11 new or upgraded buildings and outdoor spaces covering 12 blocks on the east side of campus. The ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

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.

Computer vision projects rarely go exactly as planned, and this one was no exception. The idea was simple: Build a model that could look at a photo of a laptop and identify any physical damage — ...

Abstract: Object detection models rely on large-scale, high-quality annotated datasets, which are often expensive, scarce, or restricted due to privacy concerns. Synthetic data generation has emerged ...

ABSTRACT: Researches on artificial intelligence (AI) usage primarily pivot to its positive utilization in different sectors while advanced AI tool like deepfake technology generating nudity and sexual ...

Last year at Google I/O, one of the most interesting demos was Project Astra, an early version of a multimodal AI that could recognize your surroundings in real-time and answer questions about them ...