13 datasets found

A large-scale multi-modal dataset comprising 1 million EEG-image-text pairs.

The dataset used in this paper is a large-scale machine learning dataset.

TED-LIUM 3 (TL3) is a TED talks dataset. Speaker adaptation data for TL3 was divided randomly, where 2/5 was divided into the train set, 1/5 was divided into the dev set, and...

Large-scale benchmark for tracking any object dataset

WMT datasets are large-scale machine translation datasets.

The video-based person re-identification (ReID) aims to identify the given pedestrian video sequence across multiple non-overlapping cameras.

The TrackingNet dataset is a benchmark for visual tracking, containing 511 video sequences with varying difficulties.

The dataset used in the paper is a video question answering dataset, which is a large-scale video-language pre-training task.

The Objects365 dataset is a large-scale object detection dataset containing 365,000 images with 365 categories.

The Librispeech dataset is a large-scale speaker-dependent speech corpus containing 1080 hours of speech, 5600 utterances, and 1000 speakers.

The LaSOT dataset is a large-scale benchmark for visual tracking, containing 1400 video sequences with varying difficulties.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

The DOTA dataset is a large aerial image dataset for oriented objects detection which contains 2806 images with the size ranges from 800 × 800 to 4000 × 4000 and 188282...