miquelmarti / okutama-action Goto Github PK
View Code? Open in Web Editor NEWOkutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection
There are some annotations, taking bounding boxes as an instance, that are pretty precise in some videos like 1.1.2, 1.2.1, 2.1.2, 2.2.2, et al. While there still remains a large number of poorly annotated bounding boxes in other videos. Taking 2.1.1 for an example, during this video the 20th frame is well annotated, but the 140th, 350th frame and so many other frames are ridiculously wrong. Is there anything wrong with the annotation files that I have downloaded from http://okutama-action.org/ ? Could you please tell me how to correct these wrong annotations?
First, thank you the authors for curating the data set.
The data is currently on Google Drive under different folders. What is the recommended way to do a bulk download of the whole data set, without manually downloading each individual file? Google's zipping on-demand seems to take forever.
Hi, can you please provide some detailed implementation.
Google made an update to some Google Drive file links, and I think the links in this repo were affected. Could you update those links (training set, test set, trained models)?
From what I can tell, it's necessary to recreate the link from Google Drive. The ID will be the same, but the link will have an extra parameter ?resourcekey=xxxxxxxxxxxx
.
Do you have any plan for releasing the camera meta file (i.e. altitude value)
Does anybody use this datesets? I am confused about the relationship between videos and labels. If i wanna use pictures to train my models, how to use the labels. Or someone have already used VATIC, but i was stucked in installing VATIC. Any advice would be greatly appreciated!
Can you please release the program for action detection that is mentioned in your paper?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.