29 datasets found

A large-scale benchmark archive for remote sensing image classification and retrieval.

The dataset is used to test the HCMAPPO algorithm for large-scale wind farm control. It includes 13, 16, 19, and 22 wind turbines with their coordinates, wind speeds, and...

The Nordland Railway dataset is a large-scale driving dataset that includes a 728km train journey from Trondheim to Bodø in Nordland, Norway, recorded four times, once per season.

The WavCaps dataset contains chatGPT-assisted weakly-labeled audio captioning data.

MLS: A large-scale multilingual dataset for speech research.

The People’s Speech: A large-scale diverse English speech recognition dataset for commercial usage.

Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.

The VGGSound dataset is a large-scale audio-visual dataset containing 10,000 10-second video clips with corresponding audio files.

The dataset used in the paper is also DataComp-1B, which is a large-scale dataset for training next-generation image-text models.

The dataset used for training the image-to-video model consists of LAION COCO 600M and Webvid10M.

The dataset used for training the video model consists of Webvid-10M, a large-scale dataset of short videos with textual descriptions.

The dataset used for training the text-to-video model consists of 20 million videos and 600 million images.

A large-scale dataset for object detection in aerial images, containing 11,268 images and 1,793,658 objects.

VoxCeleb: A Large-Scale Speaker Identification Dataset

A large-scale dataset for charge prediction, consisting of roughly 500,000 legal cases.

The dataset used in the paper is LAION-Aesthetic, a large-scale image dataset.

The Kinetics dataset is a large-scale action recognition dataset. It contains videos of various actions performed by humans, with annotations of the actions performed.

UCF-101 dataset is a large-scale action recognition dataset, containing 13,320 videos categorized into 101 human action categories.

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

The dataset used in the FairFace Challenge at ECCV 2020 is a reannotated version of IJB-C [37] database enriched by newly collected 12,549 public domain images.