Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Lots of semantic image segmentation implementations in Tensorflow/Keras

Pytorch Convolution neural network for semantic segmentation

All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition

Brain MRI segmentation using segmentation models

Image Segmentation of Brain Tumors using Convolutional Neural Networks. Implemented U-Net and LinkNet architectures.

The project utilizes convolutional-based network architectures for semantic image segmentation. This project utilizes the Indian Driving Dataset (IDD) Lite to classify various elements in Indian road scenes into 8 predefined categories. This implementation utilizes FCN - VGG backbone, U-Net, LINKNet, and DEEPLABV3+.

An initial phase segmentation using LinkNet on the skin lesion dataset managed by VISION AND IMAGE PROCESSING LAB, University of Waterloo. Public dataset on Kaggle at https://www.kaggle.com/datasets/mahmudulhasantasin/university-of-waterloo-skin-cancer-db-80-10-10/.

Flask app to segment bio-medical images.

Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.

Road Segmentation Using Aerial Images