Pneumonia Detection using Convolutional Neural Networks (RetinaNet)
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Updated
Nov 3, 2020 - Python
Pneumonia Detection using Convolutional Neural Networks (RetinaNet)
One-stage and two-stage face detection models
It has never been rare among AI researchers that combine and evaluate different models to discover their methods. When I read about Retinanet and Efficientnet, I had a mind to combine them.
This repository contains code to train a Object detection model to detect Person/Car using RetinaNet model
This project is a part of my Multidisciplinary Project in semester 242 which aims to develop AI models for detecting diseases in bok choy plants. The project leverages deep learning techniques and distributed training to ensure scalability and efficiency.
This project is completed as a fulfilment for the CDS590 Consultancy Project & Practicum provided by School of Computer Sciences, USM as part of their Masters of Science in Data Science and Analytics program.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
An object detection approach for the identification of turtles' heads.
Computer Vision AI to perform object detection in aerial images taken from drones and small aircraft. Flask API to run inference in the cloud.
Training detection models (RetinaNet and SSD) to detect road objects, then applying a model to real world traffic video from Moscow.
The Face Detection model is trained to detect faces in images and draw bounding boxes around them by utalizing retina-net model.
This project for implementing RetinaNet with TF/Keras 1.14, I converted it from Keras Code example (TF2X) and tried to use tfrecord for fast training.
This repo includes the implemetation of some of the state of the art object detectors on subsets of some of the most popular public datasets for object detection task.
Official implementation of the papr 'A Study on Traffic Vulnerable Detection Using Object Detection-Based Esemble'
Итоговый проект. Реализация модели детекции и ее встраивание в реальное приложение на python
The Computer Vision Course Projects.
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