Image Processing

Drone based wildfire detection and modeling methods enable high-precision, real-time fire monitoring that is not provided by traditional remote fire monitoring systems, such as satellite imaging. Precise, real-time information enables rapid, effective wildfire intervention and management strategies. Drone systems’ ease of deployment, omnidirectional maneuverability, and robust sensing capabilities make them effective tools for early wildfire detection and evaluation, particularly so in environments that are inconvenient for humans and/or terrestrial vehicles.

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246 Views

A Chinese character gesture dataset for 8 Chinese characters ( “国”,“图”,“木”,“工”,“口”,“中”,“国”,“人” ) .Datasets were collected in three different environments.

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26 Views

We propose a real world data set comprising light field images of 19 objects captured with the Lytro Illum camera in outdoor scenes and their corresponding 3D point clouds, as ground truth, captured with the 3dMD scanner. This data set allows more precise 3D pointcloud level comparison of algorithms for the task of depth estimation or 3D point cloud reconstruction from light field images.

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81 Views

This is the experimental photo dataset of the article "An Automatic and Accurate Method for Marking GCPs in UAV Photogrammetry".

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37 Views

We create a RainVID&SS benchmark on which the performance gain of subsequent processes with and without deraining pre-process can be evaluated. We argue that the gain can be a metric of deraining methods from a computer perspective

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34 Views

130 videos are available, captured in Patras, Greece, displaying drivers in real cars, moving under nighttime conditions where drowsiness detection is more important.The participating drivers are: 11 males and 10 females with different features (hair color, beard, glasses, etc). The videos are split in 2 categories:

Yawning: the drivers yawn 3 times in each video lasting approximately 15-25 seconds (107 videos)
Microsleep: the drivers talk, look around and have microsleeps in videos lasting approximately 2 minutes (21 videos).

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256 Views

Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases.

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1014 Views

This dataset includes the images, and instance segmentation masks to evaluate panoptic segmentation in the food domain. 

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199 Views

 The respiratory includes selected files related to a  study of physiological changes recorded by wearable devices during physical exercise on a home exercise bike. It is focused on testing the effect of face masks and respirators on blood oxygen concentration, breathing frequency, and the heart rate changes.

 

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167 Views

dataset for SAMM

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43 Views

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