Simulated Disaster Victim (SDV1 SDV2) dataset

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.