Unofficial Pytorch Implementation of UNet3Plus: A Full-Scale Connected UNet for Medical Image Segmentation
A computer vision project (image segmentation project) which aims to remove texts on images using Unet model. Tensorflow 2 is used as a ML library.
UNet 2.0 - Pytorch implementation of the U-Net 2.0 for image semantic segmentation, with processing blocks for noisy images
Unofficial Pytorch Implementation of DUCK-Net
Code for KiTs19 challenge, includes data preprocessing, unet models for kidney and tumor segmentation
Training code for Vesuvius Kaggle Competition
Neural Net for Image Segmentation on Change Detection Dataset. (U-Net structure)
Successfully developed an image segmentation model using U-Net to accurately detect and segment fish regions in underwater images, aiding in marine life analysis and monitoring.
A UNet model trained on the Kaggle Brain MRI segmentation dataset with 84% IoU using PaddleSeg library.
Wing Landmark Detection model with image segmentation and detection.
⛏️Use UNet
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