Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

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/.

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

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

Road Segmentation Using Aerial Images

Flask app to segment bio-medical images.

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

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

Brain MRI segmentation using segmentation models

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

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

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

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

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

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