RetinaNet implementation in PyTorch

Implement RetinaNet with TensorFlow.eager

Keras implementation of RetinaNet object detection.

PyTorch implementation of RetinaNet with the goal to reproduce results in the "focal loss for dense object detection" paper.

Reading, writing and augmenting bounding box data made fast and easy.

Multi-class object detection pipeline—Single Shot MultiBox Detector (SSD) + YOLOv3 (real-time) + focal loss (RetinaNet) + Pascal VOC 2007 dataset

MLND Final Capstone Project - VIVA Hand Detection Challenge Using A Keras RetinaNet

An implementation of RetinaNet in Pytonch

An implementation of RetinaNet in PyTorch.

Retina U-Net for medical imaging detection toolkit

Text Detection by RetinaNet with PyTorch (Code will be released soon)

Standard RetinaNet implemented with Pure PyTorch (Work in progress)

Retinanet csv format image labeling

Build Environment in Docker

PyTorch Rocket Yolov3 RetinaNet SSD - Tutorial 2: A Tale of 3 Rockets

Implementation of RetinaNet (converted from maskrcnn-benchmark)

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

CCFDF AI 数钢筋大赛

Single shot object detection in PyTorch