WEEE-Disassembly-Screw-Dataset

The Greek Sign Language (GSL) Dataset Abstract The Greek Sign Language (GSL) is a large-scale RGB+D dataset, suitable for Sign Language Recognition (SLR) and Sign Language Translation (SLT). The video captures are conducted using an Intel RealSense D435 RGB+D camera at a rate of 30 fps. Both the RGB and the depth streams are acquired in the same spatial resolution of 848×480 pixels. To increase variability in the videos, the camera position and orientation is slightly altered within subsequent recordings.…

GAze on TArget Dataset General GAze on TArget (GATA) dataset is a large-scale annotated gaze dataset, tailored for training deep learning architectures. It was created following the “target search” paradigm where subjects were asked to visually search for a specific object class. Forty eight different subjects participated in the recording procedure using myGaze capturing sensor. Figure 1: Gaze annotation process Description The introduced dataset contains about 120.000 gaze annotated images. Based on the MSCOCO 2014 database. 80 object classes. 48…

  360D Dataset – 360D Indoor Scenes with Ground Truth Depth Annotations 360D Dataset Overview bla bla bla Showcase color depth color depth color depth color depth color depth color depth color depth color depth color depth color depth color depth color depth Details and Download bla bla bla Agreement Link

Medical image processing Automatic segmentation of deep brain structures in MR images has attracted considerable scientific attention due to the widespread use of MRI and to the principal role of some structures in various mental disorders. More specifically, morphological analysis of the hippocampus (HC) and amygdala (AG) is considered a key requirement for the assessment, treatment and follow-up of various mental disorders, including Major Depressive Disorder (MDD), Post-Traumatic Stress Disorder (PTSD), schizophrenia (SD), Alzheimer’s Disease, Bipolar disorder (BD), etc. In…

Hippocampus segmentation masks from brain MRIs Segmentation masks of the Hippocampus from 23 randomly selected images from the OASIS dataset   To offer the means and to promote fair comparison between different methods, we encourage other groups to use the same dataset for the evaluation of their segmentation algorithms. Thus, we hereby provide all necessary information about the dataset and manual segmentations used in the evaluation of our segmentation algorithms. The dataset used during the performance assessment of our algorithms, consists…

In this page, you can find the supplementary material for the paper entitled “An integrated platform for live 3D human reconstruction and motion capturing”, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2016.                 The supplementary PDF document, including extended experimental results, can be downloaded from here. The dataset used in the experiments, along with the necessary code and documents, can be found here. Necessary material for the external calibration of multiple…

The dataset was recorded with a multi-Kinect2 capturing setup in a circular configuration. It includes the RGB-D streams from the multiple Kinect2 devices, along with the necessary calibration and synchronization information. For each capture, all data are included in a .zip file. The data from a single RGB-D sensor are written in a custom file format (.scnz), which uses lossless compression for depth and JPEG compression for RGB. Apart from the data below, you can also download: Source code for reading…