Keras-Mask-RCNN-for-Open-Images-2019-Instance-Segmentation

Instance Segmentation Model

Provides pre-trained Mask R-CNN models and example code for instance segmentation on the Open Images Dataset

Code and pre-trained models for Instance Segmentation track in Open Images Dataset

GitHub

56 stars
4 watching
16 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list

kerasmask-rcnnopen-images-datasetpretrained-models

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
zjhuang22/maskscoring_rcnn An open source implementation of Mask Scoring R-CNN for instance segmentation tasks. 1,900
zfturbo/zf_unet_224_pretrained_model A pre-trained convolutional neural network model for image segmentation tasks. 214
vladkryvoruchko/pspnet-keras-tensorflow An implementation of a deep learning model for image segmentation using TensorFlow and Keras 394
sadeepj/crfasrnn_keras This repository provides a Keras/Tensorflow implementation of Conditional Random Fields as Recurrent Neural Networks for semantic image segmentation. 603
tusimple/mx-maskrcnn An implementation of Mask R-CNN using MXNet and Resnet-50-FPN for object detection and segmentation in images. 1,755
nicolov/segmentation_keras An implementation of a deep learning model for image segmentation using Keras and dilated convolutions 301
aurora95/keras-fcn Keras implementation of Fully Convolutional Networks for Semantic Segmentation 650
owlbarn/owl_mask_rcnn A Mask R-CNN implementation using OCaml's Owl numerical library 17
ecobost/cnn4brca This project uses Convolutional Neural Networks (CNN) for image segmentation of breast cancer lesions. 75
msracver/fcis An implementation of a deep learning framework for instance-aware semantic segmentation 1,566
mrgloom/keras-semantic-segmentation-example This project demonstrates basic semantic segmentation using a deep neural network in Keras. 56
preritj/segmentation Deep learning models for semantic segmentation of images 100
openai/pixel-cnn A generative model with tractable likelihood and easy sampling, allowing for efficient data generation. 1,921
uber-research/upsnet Develops an instance segmentation and panoptic segmentation model for computer vision tasks. 649
yuyang-huang/keras-inception-resnet-v2 Represents an implementation of the Inception-ResNet v2 deep learning model in Keras. 180