OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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Updated
Jun 4, 2024 - Python
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Semantic segmentation models with pretrained backbones. PyTorch.
An autonomous, vision-based Bebop drone.
Deep learning applied to georeferenced datasets
Officiel implementation of the paper BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
NTU Deep Learning Medical Image course
Easily perform segmentation using different models and perform different operations on the mask.
Image segmentation with pre-trained models of DeepLabV3 and Mask R-CNN
Trained Torch version of the DeepLab on the CelebHQ.
Performance of various image segmentation models.
Deeplab V3+ on the MUAD dataset
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
On Cloud N: Cloud Cover Detection Challenge Solution
This project employs CNN and transformer models for semantic segmentation of building damage in Mexico City's 2017 earthquake, using annotated imagery to identify features like cracks and exposed rebar.
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Automated pipeline for large scale detection of solar arrays in France
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