TF-Unet
Image segmenter
An image segmentation framework implemented in TensorFlow using an architecture inspired by U-Net.
🗺 General purpose U-Network implemented in Keras for image segmentation
2 stars
5 watching
1 forks
Language: Jupyter Notebook
last commit: over 5 years ago
Linked from 1 awesome list
cnncvdnntensorflowunet
Related projects:
Repository | Description | Stars |
---|---|---|
| An open source U-Net image segmentation implementation using Tensorflow | 1,902 |
| Deep learning models for semantic segmentation of images | 101 |
| A convolutional neural network architecture for biomedical image segmentation | 430 |
| A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
| A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
| Reimplementation of a neural network model for conditional segmentation of ambiguous images | 548 |
| A deep learning framework for real-time image segmentation on high-resolution images using convolutional neural networks | 86 |
| An implementation of a deep learning model for image segmentation using PyTorch | 868 |
| This is an implementation of a deep learning model used for image segmentation in aerial images. | 102 |
| An implementation of a segmentation network in TensorFlow for image classification and object detection tasks. | 66 |
| An image segmentation model using an UNet architecture with a pre-trained VGG11 encoder. | 1,049 |
| An implementation of a deep learning algorithm for image segmentation using convolutional neural networks | 220 |
| Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
| A deep neural network architecture for segmenting images into distinct regions of interest | 205 |
| An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 |