7 datasets found

Multimodal C4 (mmc4) is a public, billion-scale corpus of images and text, constructed from public webpages contained in the cleaned English c4 corpus.

A large-scale multi-modal dialogue dataset created by leveraging the automatic pipeline with filtering using CLIP similarity.

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.

Speaker verification systems experience significant performance degradation when tasked with short-duration trial recordings. To address this challenge, a multi-scale feature...

Youtube-8M is a large-scale video classification benchmark.

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...

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...