151 datasets found

A new benchmark dataset for fake news detection, containing 12,836 short statements labeled for truthfulness, subject, context/venue, speaker, state, party, and prior history.

The TC-128 dataset is a benchmark for visual tracking, containing 128 videos with 128 frames each.

The dataset used in the paper is a collection of 156 benchmark datasets for machine learning model evaluation.

MOT16 is a benchmark for multi-object tracking, consisting of 16 video sequences with 1000 frames each.

Benchmark of state-of-the-art Sound Event Detection systems on synthetic soundscapes designed to target specific challenges of the Sound Event Detection task.

CKBPv2 is a benchmark for CSKB reasoning, consisting of approximately 1k development instances and 4k test instances.

The Visual Tracking Benchmark (VTB) is a collection of 50 videos.

The online tracking benchmark (OTB) is a collection of 50 videos.

The TUM VI benchmark datasets are a collection of visual-inertial odometry datasets.

The dataset used in the paper is a benchmark dataset for joint multi-omics dimensionality reduction approaches.

The BEIR dataset is a large-scale zero-shot evaluation dataset for information retrieval models, consisting of 13,000 documents and 1,000 questions.

A dataset and evaluation methodology for depth estimation on 4D light fields.

The OTB-100 and OTB-50 datasets are used in the experiments to evaluate the performance of the Convolutional Regression framework for visual tracking.

This dataset is a benchmark for the evaluation of RGB-D SLAM systems.

A large scale benchmark for uplift modeling.

A benchmark for stereo matching, consisting of 50 stereo pairs with ground truth disparity maps.

A benchmark for stereo matching, consisting of 11 stereo pairs with ground truth disparity maps.

A benchmark for stereo matching, consisting of 75 stereo pairs with ground truth disparity maps.

The Fleet-Tools benchmark is a dataset for robotic tool-use tasks.

A dataset for tone mapping evaluation.