Outdoor Navigation Dataset

NIAID Data Ecosystem2026-05-02 收录

自动驾驶感知

语义分割

数据链接：

https://zenodo.org/record/14043014 数据链接链接失效反馈

官方服务：

资源简介：

Dataset for outdoor navigation, containing labelled 1251 640x640 images in an urban setup, with the following labels: 'Crosswalk', 'Pedestrian', 'Ramp', 'Road', 'Sidewalk'. The format for the annotations is YOLO format for segmentation.

创建时间：

2024-11-06

东风汽车端到端自动驾驶数据集

自动驾驶感知

3D目标检测

业内领先的端到端公开数据集，聚焦车道线检测与3D目标检测两大核心场景，基于数据联盟标准《BEV目标检测标注规范》精心打造，为自动驾驶算法研发提供的高质量数据支撑。数据集收录10万组高精度标注数据、90万组自动标注数据，覆盖10类一级目标分类，包含丰富的动静态样本，所有 BEV 数据均通过同源采集与标注，确保数据一致性与模型泛化能力。数据涵盖晴天、雨天、雾天等全天气条件，白天、黄昏、夜间等多时间段，

国家数据集管理服务平台2026-04-28 更新60

IsuruDiIshan/amazon-sentinel2-forest-segmentation

森林覆盖遥感监测

语义分割

--- annotations_creators: - no-annotation language: en license: cc-by-4.0 multilingual: false size_categories: n<1000 source_datasets: - original --- # Amazon Sentinel-2 Forest Segmentation Dataset

Hugging Face2026-04-21 更新30

CloudSEN12 - a global dataset for semantic understanding of cloud and cloud shadow in Sentinel-2

遥感云检测

语义分割

Description CloudSEN12 is a large dataset for cloud semantic understanding that consists of 9880 regions of interest (ROIs). Each ROI has five 5090x5090 meters image patches (IPs) col

Zenodo2022-08-31 更新20

KappaSet_AI4QC dataset

遥感云检测

语义分割

The dataset was used in the AI4QC project (Artificial Intelligence for Quality Control), in the context of semantic segmentation for cloud detection. It consists of 9251 cloud masks, distributed over

NIAID Data Ecosystem30

On the Influence of Shape, Texture and Color for Learning Semantic Segmentation - Shape-HED Cue

语义分割

多模态特征

This work is supported by the German Federal Ministry for Economic Affairs and Climate Action within the project “KI Delta Learning”, grant no. 19A19013Q. We acknowledge support through the junior res

Zenodo2025-08-25 更新20

Outdoor Navigation Dataset

资源简介：

相关数据集