This repository contains code to train a Object detection model to detect Person/Car using RetinaNet model
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Updated
Oct 9, 2021 - Jupyter Notebook
This repository contains code to train a Object detection model to detect Person/Car using RetinaNet model
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.
C# implementation of converting Pascal Voc label to RetinaNet label
Pre-trained coco model for detection with retinanet using camera to object detection.
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.
PyTorch implementation of Anchor-Maker and Anchor-Assigner
Performance analysis of an object detector for blood cell detection
Pneumonia Detection using Convolutional Neural Networks (RetinaNet)
Object Detection codes written in Tensorflow and PyTorch.
Developed a deep learning predictive model that can determine, given an intersection image, the class and location of the objects objects of two types (car or truck).
A report and a presentation aiming to cover foundational papers of object detection literature. Mainly classical approaches, deep learning detectors along with their design tricks are explained by using original papers and web blogs.
one-stage and two-stage detectors and segmentation-based detectors
Retina U-Net for medical imaging detection toolkit
Automatic Pneunomia detection with deep neural network
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.
This research delves into the applications CNNs in crowd detection, a domain critical for optimizing operations, ensuring safety, and making informed decisions in diverse industries.
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