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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
Pytorch Convolution neural network for semantic segmentation
Detecção de linhas de plantio em plantações de cana-de-açúcar utilizando deep learning
Image Segmentation of Brain Tumors using Convolutional Neural Networks. Implemented U-Net and LinkNet architectures.
All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
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+.
one-stage and two-stage detectors and segmentation-based detectors
Very high resolution image pre-processing and semantic segmentation (Potsdam Dataset)
Flask app to segment bio-medical images.
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/.
Road Segmentation Using Aerial Images