🛣 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

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.

A full deep learning pipeline for satellite image semantic segmentation (originally designed for detection of built structures) using Segmentation Models PyTorch.

This repository contains code and results for a semantic segmentation competition using a small autonomous driving dataset. The project explores various data augmentation, network architectures, and training strategies to improve segmentation accuracy and efficiency.

Segmenting the functional tissue units of colon histopathology images.

A General Tracking Framework for ML-based Time-Symmetric Tracking.

Bone Age Maturity estimation using a Lateral Cephalogram X-ray image and deep neural networks (UNet)

This repository contains the code to train a custom DGCNN segmentation model on 3D point cloud data and carry out post-processing to filter these point clouds from the k-regular graphs produced by the model.

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.

Development for my M.Tech Thesis: Deep Learning Techniques for Road Segmentation in Indian Context

Custom deep learning model for 3D medical image segmentation, enhancing the UNETR architecture with lightweight attention gates on its skip connections. This proof-of-concept aimed to improve how the model combines features from different resolution levels. Experiments on MRI scans suggest this could be effective with larger training setups.

Deep Hierarchical Semantic Segmentation — Pixel-Wise Classification with Multi-Level Labels

The application is designed for editing a car: changing the color of the body, lights, windows and wheels

collection of methods to cope with the semantic segmentation DL tasks

We are Team RJAC and this repo is for the prototype phase for Edge AI Innovation Challenge 2024 hosted by DigiToad Technologies in collaboration with STMicroelectronics.