One-stage and two-stage face detection models

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

Pneumonia Detection using Convolutional Neural Networks (RetinaNet)

segXray - Bounding box prediction for 14 different findings in chest X-ray images

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

Implementation of Focal Loss (Lin et al., 2017) with RetinaNet on the COCO dataset.

Keras implementation of RetinaNet object detection.

Project for AI Team of Dronaid.in for 2022-23. Training Object Detection models such as YOLO and ResNet to deploy on Drones (UAVs).

using object detection models to detect vehicles in aerial imagery (vedai dataset)

Pytorch implementation of RetinaNet object detection

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.

Deep Learning-Based Medical Object Detection (IEEE Access)

An evaluation of three object detection algorithms on historical data

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.

Object Detection with 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

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