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Open Images
The Open Images dataset is a large-scale image dataset with a wide range of images, including but not limited to, street scenes, indoor scenes, and outdoor scenes. -
IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications
Four remote sensing datasets were used for classification with both small and large training samples. -
ESD dataset
The ESD dataset offers finetuned weights for the 'car' and 'French-horn' classes. -
French-horn dataset
The French-horn dataset comprises merely 10 identical prompts with different evaluation seeds. -
Inappropriate Image Prompts (I2P) dataset
The Inappropriate Image Prompts (I2P) dataset encompasses various uncomfortable and inappropriate prompts (including hate, harassment, violence, self-harm, nudity contents,... -
Pascal VOC 2012
The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and... -
ImageNet-1K, ADE20K, and COCO 2017
The dataset used in the paper is ImageNet-1K, ADE20K, and COCO 2017. -
ImageNet-Compatible Dataset
ImageNet-Compatible Dataset is a dataset of 1000 color images with 1000 class labels. -
Caltech dataset
The Caltech dataset is a dataset of images used to evaluate the performance of the ODIN system. -
Indian Food dataset
The Indian Food dataset is a dataset of images used to evaluate the performance of the ODIN system. -
Microsoft Common Objects in Context (COCO) dataset
The Microsoft Common Objects in Context (COCO) dataset is a benchmark for object detection, segmentation, and image classification. -
Pascal Visual Object Classes (VOC) dataset
The Pascal Visual Object Classes (VOC) dataset is a benchmark for object detection and image classification. -
CIFAR-10, CIFAR-100, Tiny-ImageNet, and ResNet-50
The dataset used in the paper is CIFAR-10, CIFAR-100, Tiny-ImageNet, and ResNet-50. -
CIFAR10, CIFAR100, STL10, ImageNet
The dataset used in this paper for image classification and object detection tasks. -
MiniImageNet, Caltech-UCSD Birds 200-2011, TieredImageNet, OfficeHome
MiniImageNet, Caltech-UCSD Birds 200-2011, TieredImageNet, OfficeHome -
The Caltech-UCSD Birds-200-2011 Dataset
The CUB dataset is a collection of images of landbirds and waterbirds from the CUB dataset, combined with images from Places dataset as background. -
BigEarthNet
BigEarthNet is a large-scale Sentinel-2 dataset collected from a total of 125 Sentinel-2 tiles covering areas of 10 countries in Europe. The dataset was prepared with data from...
