graviti
产品服务
解决方案
知识库
公开数据集
关于我们
GaTech VideoContext
2D Box
Urban
|...
许可协议: Unknown

Overview

The GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context evaluation in videos. The idea is to classify each pixel in the video stream as one of six geometric classes (sky, porous, ground, solid, object, mix).To further scale beyond this dataset, we propose a semi-supervised learning framework to expand the pool of labeled data with high confidence predictions obtained from unlabeled data.@article{VideoGeometricContext2013,author = {S. Hussain Raza and Matthias Grundmann and Irfan Essa},title = {Geometric Context from Video},journal = {IEEE CVPR},year = {2013},}

数据概要
数据格式
video, image,
数据量
--
文件大小
--
| 数据量 -- | 大小 --
GaTech VideoContext
2D Box
Urban
许可协议: Unknown

Overview

The GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context evaluation in videos. The idea is to classify each pixel in the video stream as one of six geometric classes (sky, porous, ground, solid, object, mix).To further scale beyond this dataset, we propose a semi-supervised learning framework to expand the pool of labeled data with high confidence predictions obtained from unlabeled data.@article{VideoGeometricContext2013,author = {S. Hussain Raza and Matthias Grundmann and Irfan Essa},title = {Geometric Context from Video},journal = {IEEE CVPR},year = {2013},}

0
立即开始构建AI
graviti
wechat-QR
长按保存识别二维码,关注Graviti公众号

Copyright@Graviti
沪ICP备19019574号
沪公网安备 31011002004865号