Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation

The 4th place and the fastest solution of the Lyft Perception Challenge (Image semantic segmentation with PyTorch)

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

Lots of semantic image segmentation implementations in Tensorflow/Keras

Minecraft Plugin for Connect, allows tunneled player connections from Connect Network to join Spigot/Paper server and Velocity/BungeeCord proxy, even in online mode!

Pytorch Convolution neural network for semantic segmentation

Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc

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

Detecção de linhas de plantio em plantações de cana-de-açúcar utilizando deep learning

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+.

Flask app to segment bio-medical images.

Very high resolution image pre-processing and semantic segmentation (Potsdam Dataset)

one-stage and two-stage detectors and segmentation-based detectors

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/.

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

Road Segmentation Using Aerial Images