A lightweight AI-powered web app using TensorFlow.js and the Coco-SSD model to detect objects in real-time via webcam or uploaded images. Fully client-side and responsive.

AI-driven vision systems now offer real-time processing, improved label efficiency, and multi-modal interaction through integration with language models. With transformer-based models like DINOv2 and ...

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students’vocabulary learning. We developed a system that utilized strategies ...

Object Detection is widely utilized in several applications such as detecting vehicles, face detection, autonomous vehicles and pedestrians on streets. TensorFlow's Object Detection API is a powerful ...

Learn how to set up YOLO object detection on Raspberry Pi AI HAT. Step-by-step guide for hardware, software, and real-world applications.

To ease object detection for threatening objects, we have got Tensor flow Object Detection API to train model and we have used Faster R-CNN algorithm for implementation. The model is built on two ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Top Object Detection Algorithms and Libraries in Artificial Intelligence (AI). The science of computer vision has recently seen dramatic changes in object identification ...

The project uses tensor flow features and prebuilt neural network trained on COCO dataset for object detection and image recognition. The object detection feature finds common objects in a live video ...