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LabelMeVideo
Computers currently have difficulty understanding what is happening in images and video. As
an extension of LabelMe, we introduce a new open annotation tool to collect a large database of objects in video by welcoming and collecting contributions from many people.
The LabelMe video project was developed as part of a computer vision research effort at MIT to build a large database of open and annotated videos. This code was developed by Jenny Yuen and Antonio Torralba and includes:
Flash client application responsible for annotating objects and events in videos hosted on a web server.
The necessary server-side scripts to manage annotation storage in an Apache web server.
For instructions on how to install and run a copy of LabelMeVideo in your own server, read the LabelMeVideoInstallationInstructions.
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LabelMeVideo
#.htaccess#
#helloWorld.pl#
.#.htaccess
.DS_Store
.htaccess
.htaccess~
AC_OETags.js
assets
helloWorld.cgi~
helloWorld.pl
helloWorld.pl~
history
LMObjectsList.swf
logfile_helper.pl
Logs
mt_functions.js
playerProductInstall.swf
printenv.cgi
submit_video_annotation.cgi
submit_video_annotation.cgi~
swfobject.js
TmpVLMAnnotations
vlm
VLM.html
VLM.swf
VLMAnnotations
VLMFrames
VLMVideos
