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.

RetinaNet and RetinaMask models for object detection based on TensorFlow and DeepCell-tf.

Pneumonia Detection using Convolutional Neural Networks (RetinaNet)

Retinanet csv format image labeling

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.

Pytorch implementation of RetinaNet object detection

This is an object detection web app where users can upload an image, select a detection model, and view the processed image with detected objects. The result is downloadable for further use.

Object Detection with RetinaNet.

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

A simple implement with pytorch of RetinaNet，基于Pytorch实现的RetinaNet精简版，无需自己编译第三方库，只需要pytorch和pycocotools即可

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

Keras RetinaNet 工程实践

An easy and quick way to do experiments with RetinaNet object detector

use eager tf to do my projects because it is difficult to debug with frozen graph

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

RetinaNET Object Detector

Pre-trained coco model for detection with retinanet using camera to object detection.

A simple and deeply commented PyTorch implementation of the RetinaNet paper, built as an educational resource. 📚 Demystify the core concepts of object detection with code that sticks closely to the original paper. 💡