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

An AI-Powered Framework for Assessing Teacher Performance in Classroom Interactions: A Deep Learning Approach

one-stage and two-stage detectors and segmentation-based detectors

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.

The Computer Vision Course Projects.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Deep neural networks to predict Pneumonia using chest xray

A Pytorch implementation of the Retinanet, based on the implementation by @yhenon

One-stage and two-stage face detection models

Blood Cells Detection with RetinaNet - ResNet-50 from the TensorFlow Model Garden