This study evaluates YOLOv12 using a globally sourced traffic dataset that includes varied weather conditions, lighting scenarios, and geographic locations. The model demonstrates strong performance ...

Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of building ...

In this study TensorFlow's Object Detection API used in Turkey traffic sign detection and recognition of the aid intended traffic signs. A dataset suitable for TensorFlow's Object Detection API has ...

Object detection is the process of classifying and locating objects in an image using a deep learning model. Object detection is a crucial task in autonomous Computer Vision applications such as Robot ...

Google announced support for TensorFlow 2 (TF2) in the TensorFlow Object Detection (OD) API. The release includes eager-mode compatible binaries, two new network architectures, and pre-trained ...

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can… ...

This tutorial is introduction about Tensorflow Object Detection API.This API can be used to detect , with bounding boxes, objects in image or video using some of the pre-trained models.Using this ...