255 datasets found

The UK-DALE dataset contains measurements of aggregate and appliance power consumption in five UK homes.

Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they...

The dataset used in the paper for fair subgroup mixup for improving group fairness.

The dataset used in the paper for fair subgroup mixup for improving group fairness.

The Flickr30k dataset is widely utilized for image caption and image-text retrieval tasks, providing a substantial collection of images with associated captions.

The dataset used in this paper consists of command speech, conversation speech, emotion and speaking style-specific speech, Korean speakers' foreign language speech, and Korean...

The dataset used in the paper is a Sintel dataset, which consists of low-resolution optical flow maps and their corresponding high-resolution RGB images.

The dataset used in the paper is Caltech101, which is a natural image classification dataset. It contains 101 categories of natural images.

The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

The dataset used in the paper is CodeSearchNet, a natural language code search benchmark for six programming languages (Python, Java, Javascript, Ruby, PHP, and Go).

The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

The BreaKHis dataset consists of 7,909 clinically representative microscopic images of breast tumor tissue.

The IJCAI-Contest dataset is a real-world dataset with 17,435 users, 31,882 items, and 35,920 interactions.

The Tmall dataset is a real-world E-commerce dataset that contains multiple types of user behaviors including purchases and views.

A dataset for terrain-aware autonomous driving on Mars.

The dataset used in the paper is a healthcare dataset containing patient information, including vital signs, lab values, and medication administration. The dataset is used to...

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

The Objaverse dataset contains around 800k 3D objects. After adopting simple filter leveraging CLIP [27] to remove the objects whose rendered images are not relevant to its...

PIE-Bench++ is a dataset for multi-aspect image editing. It contains 700 images with detailed text prompts and tailored to facilitate simultaneous edits across multiple image...

The CHAMELEON dataset is a dataset for camouflaged object detection.