How to Download
FRDR offers multiple ways to download datasets. Learn more in our documentation.
SFU-HW-Objects-v1: Object labelled dataset on raw video sequences
Description: | SFU-HW-Objects-v1 is a dataset of object labels for a set of raw video sequences. The dataset can be useful for the cases where both object detection accuracy and video coding efficiency need to be evaluated on the same dataset.This dataset was originally deposited in the Simon Fraser University institutional repository. |
Authors: | Choi, Hyomin; Simon Fraser University Hosseini, Elahe; Simon Fraser University Ranjbar Alvar, Saeed; Simon Fraser University Cohen, Robert; Simon Fraser University Bajić, Ivan; Simon Fraser University; 0000-0003-3154-5743 |
Keywords: | Object detection Uncompressed video Raw video |
Field of Research: | Electrical engineering, computer engineering, and information engineering > Data analytics and signal processing > Image and video processing and analysis
|
Publication Date: | 2020-06-24 |
Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
Funder: | Natural Sciences and Engineering Research Council of Canada (NSERC); Discovery Grant; RGPIN-2016-04590 Huawei Technologies |
URI: | https://doi.org/10.25314/7d8efc0a-3943-4738-b7a5-72badb04d765 |
Related Identifiers: |
This dataset is cited by
This dataset is part/subset of
|
Appears in Collections: | SFU Research Data |
Files in Dataset
No files uploaded
Download entire dataset using Globus Transfer. This method requires a Globus account and installing software. Watch Video: Get Started with FRDR: Download a Dataset
Files for this dataset are currently being backed up so it cannot be approved at this time. Please try later.
Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Choi, H., Hosseini, E., Ranjbar Alvar, S., Cohen, R., Bajić, I. (2020). SFU-HW-Objects-v1: Object labelled dataset on raw video sequences. Federated Research Data Repository. https://doi.org/10.25314/7d8efc0a-3943-4738-b7a5-72badb04d765