Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. IJCV 2012
Use a video annotation tool to crowdsource and create large video datasets for computer vision research.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeEfficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. IJCV 2012
vatic has 613 stars on GitHub. It has been forked 251 times. vatic is written mainly in HTML. It has been in active development since 2011. vatic is available under the MIT license. Its main topics are computer-vision, video, video-annotation.
Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces. IJCV 2012
vatic is an open-source project. It is released under the MIT license.
Yes. vatic is free and open source — you can use, modify and self-host it.
vatic is available under the MIT license.
vatic is written mainly in HTML.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/cvondrick-vatic.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.