Image Fusion
The dataset contains thermal and visible images of volunteers taken in different places to develop face detection algorithms. By providing both thermal and visible face images in a single dataset, our dataset empowers researchers, scientists, and developers to leverage the strengths of each image type. The dataset can be utilized for tasks like biometric authentication, emotion recognition, facial expression analysis, age estimation, and gender classification.
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908 Views
This dataset has 32,000 remote sensing images in UAV scenes of tiny objects with labels.
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332 Views
The Udacity Autonomous Vehicle Dataset is a widely used dataset that contains a large number of images and corresponding steering angle information. In IA-Udacity, we added lane marking annotation information to further improve the accuracy and reliability of the model, making it more suitable for lane detection and steering decisions in autonomous driving scenarios.
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258 Views
In order to contribute to the development of automatic methods for the detection of bacilli, TBimages is an image dataset composed of two subsets: TbImages_SS1 contains 10 images per field, of different focal depths, and aims to support the definition of autofocus metrics and also the development of extended focus imaging methods to facilitate the detection of bacilli in smear microscopy imaging. TbImages_SS2 aims to support the development of automatic bacilli detection.
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1533 Views
The Paddy Doctor dataset contains 16,225 labeled paddy leaf images across 13 classes (12 different paddy diseases and healthy leaves). It is the largest expert-annotated visual image dataset to experiment with and benchmark computer vision algorithms. The paddy leaf images were collected from real paddy fields using a high-resolution (1,080 x 1,440 pixels) smartphone camera. The collected images were carefully cleaned and annotated with the help of an agronomist.
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11418 Views
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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17908 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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166 Views
fused images, and the evaluation results
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5 Views
The C3I Synthetic Face Depth Dataset consists of 3D virtual human models and 2D rendered RGB and GT depth images in zipped version into two folders for male and female.
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1733 Views