57 datasets found

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.

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.

Fine-grained image classification, which aims to recognize subordinate level categories, has emerged as a popular research area in the computer vision community.

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.

Places205 is a dataset of 2.5 million images from 205 categories, with 12,000 images per category.

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.

Selective search is a method for object detection.

The dataset used in the paper is CIFAR100, ImageNet100, and ImageNet. CIFAR100 consists of 100 object classes and 60,000 images. ImageNet100 has 100 object classes and 60,000...

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset containing over 14 million images from 21,841 categories.

The PASCAL VOC dataset contains 20 classes, including person, animal, vehicle, and indoor, with 9,963 images containing 24,640 annotated objects.