255 datasets found

The ORBIT dataset is a collection of videos recorded on cell phones by people who are blind or low-vision. The dataset consists of 3,822 videos with 486 object categories...

A dataset of datasets for learning to learn from few examples.

The Caltech dataset is a dataset of images used to evaluate the performance of the ODIN system.

The Indian Food dataset is a dataset of images used to evaluate the performance of the ODIN system.

AWA2 is an animal dataset containing 37,322 images from 50 classes, with 85 attributes provided by experts to describe the semantic feature of each class.

The CUB dataset is a collection of images of landbirds and waterbirds from the CUB dataset, combined with images from Places dataset as background.

The Stanford Drone Dataset is a well-established benchmark for human trajectory prediction in bird’s eye view. The dataset consists of 20 scenes captured using a drone in...

A dataset for multi-sensor drone detection

The BanglaLekhaImageCaptions dataset is a modified version of the dataset introduced in [24]. It contains 9,154 images with two captions for each image.

The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.

The dataset is a movie review dataset with five types of nodes (movie, director, tag, writer, and user) and four types of edges (movie-director relation, movie-tag relation,...

The Flickr2K dataset is a low-resolution image dataset used for image super-resolution tasks.

The ImageNet-1k dataset is used as the backbone network for the proposed DEYOv2 model.

The COCO 2017 object detection dataset is used in this paper for evaluation of the proposed DEYOv2 model.

The Hospital expenditures dataset represents a binary classification task of predicting whether a person would have high or low utilization of medical expenditures.

The Hospital readmission dataset represents a binary classification task where label 1 means that patient is readmitted within 30 days.

The German credit dataset is a dataset used for classification tasks, and it contains sensitive attributes such as credit history.

The proposed framework was tested on four datasets, three of which are commonly used benchmarks. Two datasets (German credit and Adult income) come from the UCI ML repository...

The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images.

The datasets used for training and testing the proposed CoLA method.