14 datasets found

The Audiovision-MNIST dataset is a multi-modal dataset consisting of 1500 samples of audio and image files, with images for digits 0 to 9 and audio files with mel-frequency...

M-HalDetect is a dataset for hallucination detection in large vision language models.

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks.

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks.

A large multi-modal benchmark for UAV tracking, containing high-quality and high-definition video sequences of both RGB and IR, each annotated with bounding boxes, attributes,...

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks.

The dataset used in the paper for face anti-spoofing task, which includes multi-modal data.

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks.

The FB15K-YAGO15K dataset is a benchmark for multi-modal entity alignment.

The FB15K-DB15K dataset is an entity alignment dataset of FB15K and DB15K MMKGs.

The dataset used in the paper for entity alignment, consisting of eight knowledge graphs with various languages.

The BraTS2018 database is a continually evolving database with a total of 285 glioblastoma or low-grade gliomas subjects, comprising three consecutive subsets, i.e., 30 subjects...

The Multi Visual Modality Fall Detection Dataset (MUVIM) was used for anomaly detection of falls. It contains (6) vision-based sensors of different modalities including thermal,...

SSL4EO-S12: A large-scale, globally distributed, multi-temporal and multi-sensor dataset for self-supervised learning in Earth observation.