A mobile application that performs real-time object detection using TensorFlow Lite. The app detects and localizes objects through the device's camera, providing fast and efficient on-device inference ...

This project is a web-based application that utilizes real-time object detection to identify and label objects within an image or video stream. It is built using Next.js, ONNXRuntime, YOLOv7, and ...

Accurate, real-time object detection on resource-constrained devices enables autonomous mobile vision applications such as traffic surveillance, situational awareness, and safety inspection, where it ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

In an era when edge computing rapidly evolves, this study addresses the significant difficulty of real-time object identification on resource-constrained edge devices. We provide a unique neural ...

The mobile app includes essential Photoshop tools such as layering, masking, Tap Select, and Spot Healing Brush. Users can also access Firefly-powered generative AI features like Generative Fill ...

Called Faster Objects, More Objects (FOMO), the new deep learning architecture can unlock new computer vision applications. Most object-detection deep learning models have memory and computation ...