78 datasets found

A dataset of 3000 images collected on a public roadway for front seat vehicle occupancy detection.

The dataset used for the proposed MoCo-SAS framework, which consists of high-resolution Synthetic Aperture Sonar (SAS) data.

The dataset used in the paper is a subset of the Caltech Silhouettes database, consisting of 11 images with 42 to 59 pixels in each class.

The Cars dataset is a multi-object multi-camera network application.

XIMAGENET-12 is an explainable visual benchmark dataset for model robustness evaluation. It consists of over 200K images with 15,410 manual semantic annotations. The dataset is...

The ACE dataset is a large-scale dataset for image classification and object detection.

The INAT dataset is a large-scale dataset for image classification and object detection.

The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data.

A dataset for unified image classification, object detection, and visual relationship detection, consisting of 9.2 million images.

The dataset used in this paper is the MS COCO val2017 dataset, which is a subset of the MS COCO dataset used for validation.

Auto-WCEBleedGen Challenge V1 2023 dataset for Wireless Capsule Endoscopy bleeding frame classification and detection

Auto-WCEBleedGen Challenge V2 2024 dataset for Wireless Capsule Endoscopy bleeding frame classification and detection

The COCO-stuff dataset contains images of people performing various activities, such as playing sports, riding bicycles, and more.

The dataset used in the paper to evaluate the effectiveness of the Unlearnable Clusters (UCs) technique.

BDD-100k dataset

The proposed DualConv is used to replace the standard convolution in VGG-16 and ResNet-50 to perform image classification experiments on CIFAR-10, CIFAR-100, and ImageNet datasets.

The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

A dataset for image classification, object detection, and visual relationship detection.

The CARPK dataset is a large-scale aerial dataset for counting cars in parking lots. It contains images with a top-down view covering 4 different parking lots.

ImageNet classification dataset, COCO dataset