这是我们近期工作的官方仓库:PIDNet

camvid-dataset 开源项目推荐(30 个)
camvid-dataset 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 30 个仓库A pytorch-based real-time segmentation model for autonomous driving
Tensorflow 2 在剑桥驱动的标记视频数据库(CamVid)数据集上,使用 UNet、SegNet 和 FCN32 架构实现完整的多类图像语义分割流水线。
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
Репозиторий для обучения нейросетевых моделей по семантической сегментации + пример использования моделей на практике
在Camvid数据集上应用100层提拉米苏
Official Repository for BEVANet: Bilateral Efficient Visual Attention Network for Real-time Semantic Segmentation (ICIP 2025 Spotlight Oral)
This is the DL repository for Semantic Segmentation using U-Net model in pytorch library.
Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.
Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation (https://arxiv.org/abs/1606.02147)
A survey of Real time Semantic Segmentation for autonomous driving
Semantic segmentation on CamVid dataset using the U-Net.
This repository contains the official implementation of P2AT, a novel architecture designed for real-time semantic segmentation. P2AT achieves trade-off between accuracy and speed, establishing state-of-the-art results on Cityscapes and CamVid (pretrained on Cityscapes) without relying on inference acceleration techniques.
CamVid Dataset for Segmentation
Adapted representation of synthetic data to real world data.
This project was developed as a part of the presentation that I gave on the Programming 2.0 webinar: Autonomous driving.
Image Segmentation by Iterative Inference from Conditional Score Estimation
This is a project on semantic image segmentation using CamVid dataset, implemented through the FastAI framework.
These projects were developed as part of advanced coursework in Neural Networks and Deep Learning, focusing on cutting-edge architectures and their practical implementation for computer vision tasks.
Semantic segmentation from scratch using U-Net, PyTorch, and the CamVid dataset.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/camvid-dataset。
- 该话题在 GitHub 上共有 30 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1491 Star,覆盖 2 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。