SynoClip
- Citation Author(s):
-
Ramtin Malekpour
(Sharif University of Technology)
Hoda Mohammadzade
(Sharif University of Technology)
M. Mehrdad Morsali
(Sharif University of Technology)
- Submitted by:
- Ramtin Malekpour Afshar
- Last updated:
- DOI:
- 10.21227/syse-8e17
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Abstract
The SynoClip dataset is a standard dataset specifically prepared for the video synopsis task, featuring videos that represent real-world surveillance conditions. It includes six videos, with durations ranging from 8 to 45 minutes, captured from outdoor-mounted surveillance cameras. Each video comes with manually annotated tracking information, enabling direct comparisons between different video synopsis models. The dataset features videos that exhibit varying levels of crowdedness and image resolution, showcasing dynamic scenes, such as sidewalks where pedestrians frequently cross.
Additionally, this dataset can be used to evaluate tracking models and object detection algorithms in realistic surveillance scenarios.
Instructions:
Each video in the dataset includes corresponding annotation files formatted according to the specifications outlined in Annotation_guide.txt. Please refer to this guide for details on interpreting the annotation data.
