227 datasets found

Phishstorm phishing/legitimate url dataset

Malicious urls dataset

Sms phishing dataset for machine learning and pattern recognition

The Birds-to-Words dataset contains 15,931 images (12,770 training and 3,151 testing) tagged with descriptions of fine-grained differences between pairwise bird images.

CIRR is a general image dataset that comprises 36,554 triplets derived from 21,552 images from the popular natural language inference dataset NLVR2.

The FashionIQ dataset contains images of fashion products over 3 categories: Dress, Toptee, and Shirt, with 46,609 images in the training and 31,075 images in the validation set.

OmniObject3D is a real-scanned 3D object dataset with 6000 samples. For efficiency, we randomly select 100 objects for evaluation.

The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks.

A large dataset for object detection, containing 118k training images and 5k validation images.

The dataset used in the paper is a multi-view clustering dataset, which contains 6 views of 30000 samples each. The dataset is used to evaluate the performance of the proposed...

Visual Question Answering (VQA) has emerged as a prominent multi-discipline research problem in both academia and industry.

The REDD dataset is a dataset for energy disaggregation. It contains about half month power consumption from real homes in US, for the whole house as well as for each individual...

The UK-DALE dataset contains measurements of aggregate and appliance power consumption in five UK homes.

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

The dataset used in the paper for fair subgroup mixup for improving group fairness.

The dataset used in the paper for fair subgroup mixup for improving group fairness.

The Flickr30k dataset is widely utilized for image caption and image-text retrieval tasks, providing a substantial collection of images with associated captions.

The dataset used in this paper consists of command speech, conversation speech, emotion and speaking style-specific speech, Korean speakers' foreign language speech, and Korean...

The dataset used in the paper is a Sintel dataset, which consists of low-resolution optical flow maps and their corresponding high-resolution RGB images.

The dataset used in the paper is Caltech101, which is a natural image classification dataset. It contains 101 categories of natural images.