This project demonstrates object detection using a pre-trained TensorFlow model (SSD MobileNet V2) and OpenCV. It includes a Python script for running detections on images and a simple web interface ...

The pneumonia X-ray image detection method based on the Fast-YOLO optimized model offers an efficient and accurate solution for the early diagnosis of pneumonia with promising clinical applications.

Yolo v3 is an algorithm that uses deep convolutional neural networks to detect objects in images and videos in real time. This repository provides a TensorFlow implementation of Yolo v3, along with ...

In this context, achieving accurate target detection of brain tumors in MRI images becomes particularly important as it can improve the timeliness of diagnosis and the effectiveness of treatment. To ...

Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include R-CNN and ...

The dataset has around 164K images based on 80 categories, also called as classes. Thus, this object detection model takes an image from the user and then with the help of YOLO algorithm, predicts the ...