Computer Vision
Nextmed project is a software platform for the segmentation and visualization of medical images. It consist on a series of different automatic segmentation algorithms for different anatomical structures and a platform for the visualization of the results as 3D models.
This dataset contains the .obj and .nrrd files that correspond to the results of applying our automatic lung segmentation algorithm to the LIDC-IDRI dataset.
This dataset relates to 718 of the 1012 LIDC-IDRI scans.
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790 Views
Egocentric vision is important for environment-adaptive control and navigation of humans and robots. Here we developed ExoNet, the largest open-source dataset of wearable camera images of real-world walking environments. The dataset contains over 5.6 million RGB images of indoor and outdoor environments, which were collected during summer, fall, and winter. 923,000 of the images were human-annotated using a 12-class hierarchical labelling architecture.
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5983 Views
These three datasets cover Western, Chinese and Japanese food used for food instance counting and segmentation evaluation.
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692 Views
This is a small dataset as a part of huge dataset of breast cancer images. The images are mammograms.
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7134 Views
The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.
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270 Views
Calibration datasets used in the article Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration based on DLT. These datasets were acquired with a Lytro Illum camera using two calibration grids with different sizes: 8 × 6 grid of 211 × 159 mm (Big Pattern) with approximately 26.5 mm cells, and 20×20 grid of 121.5 × 122 mm (Small Pattern) with approximately 6.1 mm cells. Each dataset acquired is composed of 66 fully observable poses of the calibration pattern.
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834 Views
Research on damage detection of road surfaces has been an active area of research, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand the type of damage and its extent in order to take effective action in advance or to allocate the necessary resources. Moreover, currently there are few uniform and openly available road damage datasets, leading to a lack of a common benchmark for road damage detection.
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4191 Views
Dataset for Telugu Handwritten Gunintam
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626 Views
Addtional datasets for the jounal paper subimitted to IEEE Transactions on Computational Imaging, including self-captured light field microscopy datasets with lab-assembled LF microscope.
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558 Views
An image dataset including five types of weather conditions (cloudy, sunny, foggy, rainy and snowy) was constructed.
This dataset, called FWID, includes 4000 images for each weather category, leading to a total of 20000 images.
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1982 Views