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.

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

Keras implementation of RetinaNet object detection.

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

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

One-stage and two-stage face detection models

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

Deep Learning-Based Medical Object Detection (IEEE Access)

An object detection approach for the identification of turtles' heads.

Face detection model

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.

An evaluation of three object detection algorithms on historical data

Object Detection with RetinaNet.