-
Occupancy Detection in Vehicles Using Fisher Vector Image Representation
A dataset of 3000 images collected on a public roadway for front seat vehicle occupancy detection. -
MoCo-SAS Dataset
The dataset used for the proposed MoCo-SAS framework, which consists of high-resolution Synthetic Aperture Sonar (SAS) data. -
Caltech Silhouettes dataset
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. -
Cars dataset
The Cars dataset is a multi-object multi-camera network application. -
XIMAGENET-12
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... -
ACE: ally complementary experts for solving long-tailed recognition in one-shot
The ACE dataset is a large-scale dataset for image classification and object detection. -
The INAT dataset for image classification and object detection
The INAT dataset is a large-scale dataset for image classification and object detection. -
Imagenette
The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data. -
Open Images V5
A dataset for unified image classification, object detection, and visual relationship detection, consisting of 9.2 million images. -
MS COCO val2017 dataset
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
Auto-WCEBleedGen Challenge V1 2023 dataset for Wireless Capsule Endoscopy bleeding frame classification and detection -
Auto-WCEBleedGen Challenge V2 2024
Auto-WCEBleedGen Challenge V2 2024 dataset for Wireless Capsule Endoscopy bleeding frame classification and detection -
COCO-stuff dataset
The COCO-stuff dataset contains images of people performing various activities, such as playing sports, riding bicycles, and more. -
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
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. -
Open Images Dataset
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... -
Open Images Dataset V4
A dataset for image classification, object detection, and visual relationship detection. -
ImageNet classification
ImageNet classification dataset, COCO dataset
