Computer Vision
This database contains Synthetic High-Voltage Power Line Insulator Images.
There are two sets of images: one for image segmentation and another for image classification.
The first set contains images with different types of materials and landscapes, including the following landscape types: Mountains, Forest, Desert, City, Stream, Plantation. Each of the above-mentioned landscape types consists of 2,627 images per insulator type, which can be Ceramic, Polymeric or made of Glass, with a total of 47,286 distinct images.
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473 Views
MARS-Gait is a new outdoor gait recognition dataset. It is built based on the MARS (Motion Analysis and Re-identification Set) dataset, whose samples are collected in the campus of Tsinghua university. MARS is used for video-based person Re-ID task, which uses 6 near- synchronized cameras located in the campus for recording the pedestrians. It provides the tracklets with person and camera IDs as the annotations. To obtain the gait recognition dataset, we first screened all samples, removing the tracklets where people are obviously not walking, such as cycling or sitting.
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8 Views
We present ViSnow: a large image dataset for snow-covered roads in an urban setting. The dataset includes an extensive collection of images from traffic surveillance cameras installed in Montreal, Quebec, Canada, during the winters of 2022 and 2023. ViSnow dataset aims to enable computer vision applications in intelligent transportation and winter road maintenance. ViSnow comprises 294,000 images describing various settings spanning day and night periods, different weather conditions (snow, rain, clear), and multiple urban areas (residential, commercial, industrial).
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745 Views
In this study, an equatorial telescope with an aperture of 310 mm, which will be installed in Antarctica in 2024, is chosen as the research subject. The Hour angle that the telescope pointing at is in the range of t[0, 360], and that for the declination axis is [-90, 30].The dataset contains around 3,000 images. The overall workflow is to collect images of the telescope in various poses and then collect two of each pose of the telescope from the TCS side of the telescope
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45 Views
SeaIceWeather Dataset
This is the SeaIceWeather dataset, collected for training and evaluation of deep learning based de-weathering models. To the best of our knowledge, this is the first such publicly available dataset for the sea ice domain. This dataset is linked to our paper titled: Deep Learning Strategies for Analysis of Weather-Degraded Optical Sea Ice Images. The paper can be accessed at: https://doi.org/10.1109/jsen.2024.3376518
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326 Views
DIRS24.v1 presents a dataset captured in campus environment. These images are curated suitably for the utilization in developing perception modules. These modules can be very well employed in Advanced Driver Assistance Systems (ADAS). The images of dataset are annotated in diversified formats such as COCO-MMDetection, Pascal-VOC, TensorFlow, YOLOv7-PyTorch, YOLOv8-Oriented Bounding Box, and YOLOv9.
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416 Views
The foundation of detection relies on the surface micro-defect images of KDP, and the effectiveness of the detection model depends on the quality of these images. Higher quality images can pinpoint the shape details and boundary features of defects, thereby enhancing the overall detection capability.
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126 Views
the first digitalized mammogram dataset for breast cancer in Saudi Arabia, depend on the BI-RADS categories, to solve the availability problem of local public datasets by collecting, categorizing, and annotating mammogram images, supporting the medical field by providing physicians with different diagnosed cases especially in Saudi Arabia
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1027 Views
This abstract presents a dataset focused on circular objects within a production line environment, with diameters ranging from 30 to 70 cm. The dataset is designed to facilitate the development and evaluation of computer vision algorithms tailored for detecting and analyzing circular objects in industrial settings. It comprises a diverse collection of images captured under varying lighting conditions, backgrounds, orientations, and scales, mimicking real-world production line scenarios.
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2 Views
For the semantic segmentation to be effectively done, a labelled flood scene image dataset was created. This initiative was undertaken with official permission obtained from the BBC News Website and YouTube channel, providing a valuable dataset for our research. We were granted permission to use flood-related videos for research purposes, ensuring ethical and legal considerations. Specifically, videos were sourced from the BBC News YouTube channel. The obtained videos were then processed to extract image frames, resulting in a dataset comprising 10,854 images.
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179 Views