All posts by Christopher Pramerdorfer

SDT Dataset

Synthetic Depth & Thermal (SDT) Dataset Description The Synthetic Depth & Thermal (SDT) dataset consists of 40k synthetic and 8k real depth and thermal stereo images, depicting human behavior in indoor environments. Included samples show uniquely posed lying, sitting and standing persons within four different room types (living room, bed room, bath room and kitchen), … Continue reading SDT Dataset

PCB DSLR Dataset

The PCB DSLR dataset is meant to facilitate research on computer-vision-based Printed Circuit Board (PCB) analysis, with a focus on recycling-related applications. The dataset contains 748 images of PCBs from a recycling facility, captured under representative conditions using a professional DSLR camera. All images come with accurate PCB segmentation information as well as bounding box information … Continue reading PCB DSLR Dataset

Christopher Pramerdorfer

2020 Pramerdorfer C., Strohmayer J., Kampel M., “SDT: A Synthetic Multi-Modal Dataset for Person Detection and Pose Classification”, International Conference on Image Processing, Abu Dhabi, UAE, October 2020 Pramerdorfer C., Planinc R., Kampel M., “Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care”, International Conference on Computer Vision and Pattern Recognition (CVPR) … Continue reading Christopher Pramerdorfer