keras-segnet
Deep learning model
An implementation of a deep learning architecture for image segmentation using the Keras framework.
SegNet model implemented using keras framework
185 stars
10 watching
97 forks
Language: Jupyter Notebook
last commit: over 8 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| An implementation of the SegNet-Basic deep learning model for image segmentation using Keras and convolutional neural networks. | 83 | |
| Represents an implementation of the Inception-ResNet v2 deep learning model in Keras. | 180 | |
| An open-source tool to extract and visualize layer outputs and gradients in Keras models | 1,050 | |
| An implementation of Deeplabv3+ in Keras with pretrained weights and customization options for semantic image segmentation. | 1,360 | |
| An implementation of SegNet architecture for semantic segmentation using tensorflow and keras. | 179 | |
| A unified interface to various deep learning architectures | 818 | |
| An implementation of a deep learning model for image segmentation using Keras and dilated convolutions | 301 | |
| A high-level neural networks API for C# and F#, enabling fast prototyping of deep learning models. | 606 | |
| A high-level deep learning framework for building and training neural networks on multiple backend engines | 62,196 | |
| A deep learning model for segmenting lung tissue from 2D chest X-ray images using a UNet architecture. | 173 | |
| An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 | |
| A pre-trained convolutional neural network model for image segmentation tasks. | 214 | |
| A deep learning framework for real-time image segmentation on high-resolution images using convolutional neural networks | 86 | |
| An implementation of Structural Deep Network Embedding using Keras for link prediction and network embedding tasks | 92 | |
| An extension of Keras with new functionalities including conversion from Caffe models and support for multimodal data. | 225 |