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 ...

Interest in object detection has been strong for a long time, well before the advent of deep learning techniques and cutting-edge image processing tools. Models for object detection are often taught ...

Also, you would need to do this for each object you want your model to recognize. Imagine you want to develop a generic object detection model that recognizes all the objects it will see. You can use ...