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Synthetic Multimodal Video Benchmark (SMVB)
A dataset consisting of synthetic images from distinct synthetic scenes, annotated with object/instance/semantic segmentation masks, depth data, surface normal information and optical for testing and benchmarking model performance for multi-task/multi-objective learning.
Supported Tasks and Leaderboards
The dataset supports tasks such as semantic segmentation, instance segmentation, object detection, image classification, depth, surface normal, and optical flow estimation, and video object segmentation.
Dataset Structure
Data Instances
Data Fields
Data Splits
Dataset Creation
Curation Rationale
Source Data
Citation Information
@INPROCEEDINGS{karoly2024synthetic,
author={Károly, Artúr I. and Nádas, Imre and Galambos, Péter},
booktitle={2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)},
title={Synthetic Multimodal Video Benchmark (SMVB): Utilizing Blender for rich dataset generation},
year={2024},
volume={},
number={},
pages={},
doi={}}
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