73 datasets found

PASCAL 2007 dataset

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.

Pascal VOC 2007 and 2012 datasets for object detection

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.

The dataset used in the paper is ImageNet-52R, a random subset of ImageNet for object detection.

The dataset used in the paper is ImageNet-52P, a subset of ImageNet for object detection.

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

The COCO detection track dataset is used for object detection tasks.

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

BDD-100k dataset

FSOD is a benchmark for object-level image retrieval, containing 14K images from 200 categories.

Few-shot Object Detection dataset

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

The dataset used in the paper is the MS-COCO 2017 detection dataset.

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.