Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.

This repository demonstrates how to use TensorFlow based SegFormer model in 🤗 transformers package.

Human parsing model for fashion and virtual try-on applications

AI Toolkit for Healthcare Imaging in Keras 3

This repository provides an overview of Segformer, architecture encoder in particular. Some details of Segformer can be misleaded, thus makes a short description here to help understand the model. Meanwhile, the code (Keras/TensorFlow) is also provided for supporting.

This is a warehouse for SegFormer-pytorch-model, can be used to train your image datasets for segmentation tasks.

A Keras 3 Implementation of "SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers"

AgriSegment — A multi-modal plant segmentation suite for agricultural research. It offers four FastAPI-powered tools—Hybrid (SegFormer + SAM), Interactive (real-time SAM), Semantic (batch SegFormer), and Panoptic (Mask2Former)—making AI-driven plant segmentation accessible to non-programmers.

Comparing CNN- and Transformer-Based Deep Learning Models for Semantic Segmentation of Remote Sensing Images. Specifically looking at different configurations of U-Net and SegFormer applied to Potsdam, Vaihingen and FloodNet dataset.

PyTorch Implementation of SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Tackling the challenges of off-road environment navigation through Attention Guided Off-Road Semantic Segmentation.

Repository of the paper: RailSafeNet: Visual Scene Understanding for Tram Safety

Real time Semantic Segmentation on Cityscapes dataset.

Official implementation of "Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers".

🎥 Generate stunning videos with AI and cinematic effects using our user-friendly tool. Create and share visuals effortlessly with ease.

Clothes semantic segmentation with Transformers

Semantic Segmentation of Drone Images With Hugging Face and MLflow

Automatic Damage Segmentation of Sanskrit Palm-leaf Manuscripts

An application for automatic road damage assessment using semantic segmentation on high-resolution images. The project helps municipal authorities and maintenance teams detect and prioritize road repairs, improving safety and reducing costs.

No description provided.

🌿 GreenSight AI Real-Time Terrain Segmentation for Forest Monitoring GreenSight AI is an advanced semantic segmentation system designed to analyze forest terrain using deep learning. The model segments forest images into 10 detailed terrain classes, enabling automated environmental monitoring and land analysis. Final IoU Score : 0.2638

Comparative Study of CNN and Vision Transformer architectures for high-resolution semantic segmentation.

This repository contains implementations of road segmentation models using deep learning techniques. The primary goal is to accurately identify drivable road areas in images captured from a vehicle's perspective.

This repository contains my project on medical image segmentation using the UW-Madison GI Tract dataset. It will use a Segformer, and include a Gradio app for user-friendly image inference. The model will be deployed on HuggingFace Spaces for easy accessibility, encouraging contributions to advance medical image segmentation in healthcare domain.

This project leverages the Segformer pretrained model to perform billboard segmentation through semantic segmentation, specifically targeting Indian billboards. By applying transfer learning on a custom dataset, the model accurately classifies and delineates billboards within images, enabling efficient detection and analysis.

AI Pipeline that is truly free, and doesnt require and internet connection to use. Built and Optimized for use with Acer Predator Helios Neo 16 w/RTX4060

A Comparison Between 4 deep learning models for skin lesion segmentation comparison.

Code for our submission to Solafune: Identifying Deforestation Drivers ML competition

AI clothing detection API with segmentation, background removal, and color analysis. Built with FastAPI + Segformer.