Comments (21)
It seems like these links are dead now. Does anyone else have a copy hosted?
from deep-feature-flow.
It does not work...
from deep-feature-flow.
For those who want vid dataset: this link is available
http://bvisionweb1.cs.unc.edu/ilsvrc2015/download-videos-3j16.php
Thanks for mentioning this. It seems that the video is from ILSVRC2015 instead of ILSVRC2017.
The ILSVRC2017 video dataset might be obtained from:
https://bvisionweb1.cs.unc.edu/ILSVRC2017/download-videos-1p39.php
from deep-feature-flow.
I also found the link https://bvisionweb1.cs.unc.edu/ilsvrc2015/ILSVRC2015_VID.tar.gz is not accessible.
The following error message appears:
===
Forbidden
You don't have permission to access this resource.
Apache/2.4.41 (Ubuntu) Server at bvisionweb1.cs.unc.edu Port 443
===
Hope someone can provide an alternative link 🙂.
from deep-feature-flow.
For those who want vid dataset: this link is available
http://bvisionweb1.cs.unc.edu/ilsvrc2015/download-videos-3j16.php
from deep-feature-flow.
Yes, it seems now it doesn't work anymore but I found a torrent that contains the whole ImageNet Vid dataset, including the 2015 VID. I have uploaded it to my drive bellow:
https://drive.google.com/file/d/1WZpKAGI-SfogA2-W1t_QOhq6qJ1Uamca/view?usp=drive_link
from deep-feature-flow.
You could download it from here: https://www.kaggle.com/c/imagenet-object-detection-from-video-challenge
from deep-feature-flow.
@YuwenXiong 's link is down now, is there any way to download it now?
from deep-feature-flow.
hi, which dataset exactly we need to download because there are huge, could u please refer to this comment Scalsol/mega.pytorch#73 (comment)
from deep-feature-flow.
Just checked the links and all of them are still down. I'm on the same team of @RyanMarten here.
from deep-feature-flow.
was anyone able to download the video dataset?
from deep-feature-flow.
For those who want vid dataset: this link is available
http://bvisionweb1.cs.unc.edu/ilsvrc2015/download-videos-3j16.php
Thanks for sharing this. How to download from this php webpage? I am not sure if this link is working anymore.
from deep-feature-flow.
the link is not accessible, have you found a workaround for that issue?
from deep-feature-flow.
has anyone has a workaround for that issue?
from deep-feature-flow.
It seems like these links are dead now. Does anyone else have a copy hosted? Thanks
from deep-feature-flow.
Hi, Most of the links are either down or Forbidden. Does anyone has a copy of this dataset who can upload and share it?
I just found the following dataset which is just a small portion of the original Imagenet Vid dataset.
https://xdshang.github.io/docs/imagenet-vidvrd.html
Thanks in advance.
from deep-feature-flow.
Hi. I have been searching for this data set for two weeks and still there is no working link to download. even the imageNet help desk is not answering. my question is how new papers that are being released since 2022 are citing this dataset while it is almost disappeared from the web.
from deep-feature-flow.
Same issue as @HamidrezaBsh, unable to find entire dataset.
Update:
https://www.kaggle.com/competitions/imagenet-object-localization-challenge/data?select=ILSVRC
from deep-feature-flow.
There is this issue on the matter, and it seems it has the entire ImageNet-VID dataset on pan baidu:
However, you need to have a chinese phone number to access these files. Is there someone who could throw this on a google drive instead and share the link please? :)
from deep-feature-flow.
The image Net link still works but you have to modify the final path for it to open.
I found the following link to be working: https://bvisionweb1.cs.unc.edu/ilsvrc2015/download-videos-3j16-desconly.php
from deep-feature-flow.
The above link does indeed load, but all download links in it are forbidden
from deep-feature-flow.
Related Issues (20)
- How to evaluate the inference speed? HOT 1
- Question about the number of training And the result of mAP
- How to use overlap thresh(IoU)?
- How to evaluate inference speed / fps in table 4?
- How to generate data/ILSVRC2015/ImageSets?
- For real-time object detection purposes
- No test results show by dff_rfcn_test.py Result "Killed"
- 'MutableModule' object has no attribute 'items'
- Question about VID_train_15frames.txt
- too large launch parameter: AddTakeGrad[130560,1], [64,1,1]
- question about the current predictor HOT 1
- Train with a different backbone (Resnet-50 or ResNet-18)
- Running in Python 3
- install error
- I think there is a little error at lib/utils/image.py!
- filtered 222946 roidb entries: 222946 -> 0
- Help in Training Custom Dataset
- that means mxnet cannot find cblas library, please install atlas/openblas correctly
- NameError: name 'resnet_v1_101_flownet_rfcn' is not defined HOT 1
- build incubator-mxnet: make -j4 failed!
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from deep-feature-flow.