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SVIRO.yml
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---
title: SVIRO Synthetic Vehicle Interior Rear Seat Occupancy
homepage: https://sviro.kl.dfki.de
category: ImageProcessing
description: 25.000 synthetic scenery's across ten different vehicle interiors for several simulated sensor inputs and ground truth data
version: 1.0
keywords: Automotive, classification, object detection, instance segmentation, pose estimation, seat occupancy
image: https://sviro.kl.dfki.de/wp-content/uploads/2019/11/web_front_rgb-768x512.png
temporal:
spatial: 960*640
access_level: public
copyrights:
accrual_periodicity:
specification:
data_quality:
data_dictionary:
language: en
license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
publisher:
- name:
web:
organization:
- name: IEE S.A. and German Research Center for Artificial Intelligence
web:
issued_time: 2020.01
sources:
- name:
access_url:
references:
- title:
reference: