Image Processing

Fecal microscopic data set is a set of fecal microscopic images, which is used in object detection task. The datasets are collected from the Sixth People’s Hospital of Chengdu (Sichuan Province, China). The samples were went flow diluted, stirred and placed, and imaged with a microscopic imaging system. The clearest 5 images were collected for each view of each sample with Tenengrad definition algorithm. The dataset we collected includes 10670 groups of views with 53350 jpg images. The Resolution of images are 1200×1600. There are 4 categories, RBCs, WBCs, Molds, and Pyocytes.

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331 Views

Dataset for detecting faults during PCB manufacturing

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116 Views

Today, the cameras are fixed everywhere, in streets, in vehicles, and in any public area. However, Analysis and extraction of information from images are required. Particularly, in autonomous vehicles and in smart applications that are developed to guide tourists. So, a large dataset of scene text images is an important and difficult factor in the extraction of textual information in natural images. It is the input to any computer vision system.

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354 Views

Achieving digital intraoral impressions is a key step in orthodontic, implant, and repair. Compared with the complex and time-consuming traditional plaster impression method, the intraoral 3D scanner can obtain digital impressions in real time. However, because of the saliva, enamel, metallic denture, etc., the quality of the captured 2D image, which is used for feature measurement and 3D reconstruction, is usually degraded.

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130 Views

Images from a SCARA manipulator with co-planar colored markers moving in a plane.

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65 Views

This is an accurately labeled dataset designed to support foreign bodies detection research in industrial production scenarios. In order to facilitate the reproduction of the results of the original paper, we provide this dataset for further research.

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343 Views

A subjective test campaign was conducted, aiming to assess the viewport field of view (FoV) effect on perceived quality and to find the FoV that presents the best trade-off between user immersive experience and perceived geometric distortions.

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52 Views

The subjective assessment of the generalized perspective projection (parameterized with projection center d) was conducted using eight omnidirectional images, in equirectangular format, taken from the Salient360! dataset [1]. The spatial resolution of images 2, 6, and 8 is 7500×3750 pixels (8K), and for the remaining ones is 3840×1920 pixels (4K). The selected images have different types of contents, including indoor and outdoor scenes, objects near and far away from the camera, and the presence or absence of people.

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54 Views

This dataset is a collection of images and their respective labels containing multiple Indian coins of different denominations and their variations. The dataset only contains images of one side of each coin (Tail side) which contains the denomination value.

The samples were collected with the help of a mobile phone while the coins were placed on top of a white sheet of A4-sized paper.

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801 Views

A crowdsourcing-based subjective evaluation of viewport images, rendered with Pannini projection was conducted, aiming to assess the perceptual impact of the stretching distortion.

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49 Views

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