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Simulated Disaster Victim (SDV1 & SDV2) dataset
- Citation Author(s):
- Submitted by:
- YOGESHWAR DADWHAL
- Last updated:
- Tue, 05/17/2022 - 22:21
- DOI:
- 10.21227/a5dm-y470
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- Research Article Link:
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Abstract
Simulated Disaster Victim dataset consists of images and video frames containing simulated human victims in cluttered scenes along with pixel-level annotated skin maps. The simulation was carried out in a controlled environment with due consideration towards the health of all the volunteers. To generate a real effect of a disaster, Fuller’s earth is used which is skin-friendly and does not cause harm to humans. It created an effect of disaster dust over the victims in different situations. The victims included one female and four male volunteers. The objective of this dataset generation was to capture images having humans lying in different postures in a catastrophic scenario. The clutter is brought in by using construction material, such as bricks, cement bags, dust, Fuller's earth, stones, etc. The datasets have a variety of variations including color, scale, pose, illumination, motion blur, and occlusion. The dataset consists of two parts SDV1 and SDV2. SDV1 consists of 128 images and ground truth maps. SDV2 video dataset has 15 video clips. The SDV2 dataset has pixel-level annotations of skin maps around which skin objectness windows are formed for random frames for each video. To the best of our knowledge, there is no dataset publicly available testing algorithms used for assisting rescuers in locating victims. This dataset will serve as a benchmark dataset benefiting future research efforts in this direction.
CSIR-CSIO Simulated Disaster Victim Dataset
This dataset was collected as part of research work on locating victims in catastrophic situations in different poses, occlusions and varied illumination conditions of simulated victims in images and video. The work and dataset is explained in paper “Data-driven Skin Detection in Cluttered Search & Rescue Environments” and Ph.D. thesis titled “Automated Detection of Disaster Victims in Cluttered Environments”. The dataset is divided in two parts: (a) SDV1 containing simulated disaster victim images with corresponding ground truth files, and (b) SDV2 dataset consisting of 15 video clips of simulated disaster victims.
SDV1 dataset:
· 128 images (768x509) with 128 ground truth binary maps.
· Five volunteers as victims (one female and four male).
SDV2 dataset:
· 15 video clips consisting of 6315 frames and 557 pixel level annotations of skin maps.
· Each frame has a resolution of 960x540.
· Ground truth binary maps available for random frame number in each sequence.
· Five volunteers as victims (one female and four male).
Note: Folder name ‘GT’ correspond to the ground truth folder
Disclaimer
THIS DATA SET IS PROVIDED "AS IS" AND WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
·The research work was funded by Council of Scientific & Industrial Research (CSIR) and was carried out at CSIR-Central Scientific Instruments Organisation, Chandigarh. The research work was also supported by the Academy of Scientific & Innovation Research (AcSIR), India.
This dataset is the property of CSIR-CSIO, Chandigarh, India.
·It is to be used only for research purpose giving due credit by citation.
Dataset Files
Simulated Disaster Victim Dataset.zip (354.97 MB)
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