992 datasets found

A novel end-to-end 6-Dof grasp poses detection framework in cluttered scenes.

The R4R dataset is a larger VLN dataset than R2R and with more complicated navigation paths.

The R2R dataset is a dataset based on real photos taken in indoor environments. It attracts massive attention for its simple-form task, which at the same time requires complex...

Five public SOD datasets for comparison among SOD methods

Five public SOD datasets for comparison among SOD methods

Five public SOD datasets for comparison among SOD methods

The CLAM dataset is a collection of whole slide images (WSIs) with corresponding attention maps.

A large-scale dataset of thermographic images of PV modules from seven PV plants.

A computer vision tool for semi-automatic extraction of PV modules from thermographic videos. It handles the large amounts of thermographic images acquired during inspection of...

A list of publicly available infrared image and video sets for artificial intelligence and computer vision researchers.

The dataset is used for learning color constancy.

The dataset is used for auto-white balance correction.

Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios.

The dataset used for training and testing the model consists of 3D walking motion capture data of three different participants. The data is edited to form a continuous cycle...

A vision-based method to precisely compute the attitude of 3-DoF rotational air-bearing platforms.

The MNIST data set is a dataset used for testing the performance of the DisDF.

The dataset used in this paper is a convolutional neural network (CNN) model, specifically ConvNeXt.

The dataset used in this paper is a convolutional neural network (CNN) model, specifically ResNet-34, and its layers 20 and 28.

Long Wave Infrared (LWIR) cameras provide images regardless of the ambient illumination, they tolerate fog and are not blinded by the incoming car headlights.

The dataset used in the paper is not explicitly mentioned, but it is implied that it is a collection of images and videos of a kitchen scene.