TernausNetV2
Building detection model
A deep learning model for automatic instance segmentation of building footprints from satellite imagery
TernausNetV2: Fully Convolutional Network for Instance Segmentation
547 stars
27 watching
112 forks
Language: Jupyter Notebook
last commit: over 4 years ago
Linked from 3 awesome lists
computer-visiondeep-learningimage-segmentationpythonpytorchsatellite-imagery
mrgloom/awesome-semantic-segmentation
sacridini/awesome-geospatial
damminhtien/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ternaus/ternausnet | An image segmentation model using an UNet architecture with a pre-trained VGG11 encoder. | 1,047 |
 nshaud/deepnetsforeo | Developing deep learning models for Earth Observation using remote sensing images | 476 |
| ternaus/robot-surgery-segmentation | Develops AI models to accurately segment robotic instruments in medical images from robot-assisted surgery videos. | 624 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
 yuyang-huang/keras-inception-resnet-v2 | Represents an implementation of the Inception-ResNet v2 deep learning model in Keras. | 180 |
 4uiiurz1/pytorch-nested-unet | An implementation of a deep learning model for image segmentation using PyTorch | 851 |
 nexusapoorvacus/deepvariationstructuredrl | An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 |
 zfturbo/zf_unet_224_pretrained_model | A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
 0bserver07/one-hundred-layers-tiramisu | An implementation of a state-of-the-art deep learning model for semantic image segmentation | 197 |
 zhengpeng7/birefnet | An implementation of a deep learning-based image segmentation model for high-resolution images | 1,319 |
 lironui/banet | An implementation of a deep learning model for semantic segmentation of high-resolution urban scene images. | 13 |
| ternaus/iglovikov_segmentation | A deep learning-based semantic segmentation pipeline using the Catalyst framework. | 20 |
 ethanhe42/u-net | A convolutional neural network architecture for biomedical image segmentation | 426 |
 vladkryvoruchko/pspnet-keras-tensorflow | An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 |