🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
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Updated
Jun 20, 2023 - Jupyter Notebook
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
3クラス(肌、服、髪)のセマンティックセグメンテーションを実施するモデル(A model that performs semantic segmentation of 3 classes(skin, clothes, hair))
Semantic Segmentation on Cityscapes using Segmentation Models Pytorch
A General Tracking Framework for ML-based Time-Symmetric Tracking.
Segmentation of cancerous tumors using Mamba. Code, resources, and paper provided. We manage to make a small (42k param) model that can segment pretty well.
Colon Crypt Segmentation
Bone Age Maturity estimation using a Lateral Cephalogram X-ray image and deep neural networks (UNet)
Development for my M.Tech Thesis: Deep Learning Techniques for Road Segmentation in Indian Context
A full deep learning pipeline for satellite image semantic segmentation (originally designed for detection of built structures) using Segmentation Models PyTorch.
This project offers an easy, flexible, modular PyTorch implementation for semantic segmentation to minimize configuration, automate training and deployment, and enable customization of models, encoders, losses and datasets through its modular design.
collection of methods to cope with the semantic segmentation DL tasks
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