85 Open source projects that are alternatives of or similar to Faster Rcnn

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

Deep Learning toolkit for Computer Vision.

faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)

Faster-RCNN in Tensorflow

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Face detection using deep learning.

TensorFlow implementation of Faster R-CNN

code for py-R-FCN-multiGPU maintained by bupt-priv

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

Faster RCNN with PyTorch

Light-Head RCNN and One Novel Object Detector

A Faster-RCNN based anime face detector implementation using tensorflow.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

Boundary-preserving Mask R-CNN (ECCV 2020)

Physical adversarial attack for fooling the Faster R-CNN object detector

A PyTorch Detectron codebase for domain adaptation of object detectors.

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Simpler app for tensorflow object detection API

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks