19,997 machine learning datasets
19,997 dataset results
A large-scale Japanese video caption dataset consisting of 79,822 videos and 399,233 captions. Each caption in the dataset describes a video in the form of "who does what and where."
The Stickerchat dataset is a large-scale real-world dialog dataset with stickers which contains 340K multi-turn dialog and sticker pairs.
The Store Dataset is a dataset for estimating 3D poses of multiple humans in real-time. It is captured inside two kinds of simulated stores with 12 and 28 cameras, respectively.
A real-world image dataset that contains more than 900 images generated from 26 street cameras and 7 object categories annotated with detailed bounding box. The data distribution is non-IID and unbalanced, reflecting the characteristic real-world federated learning scenarios.
A large-scale dataset composed of object-centric street view scenes along with point correspondences and camera pose information.
The dataset is collected from the Youtube videos that contains fight instances in it. Also, some non-fight sequences from regular surveillance camera videos are included. * There are 300 videos in total as 150 fight + 150 non-fight * Videos are 2-second long * Only the fight related parts are included in the samples
A corpus of annotated crime stories from English-language newspapers in the U.S. For SuspectGuilt, annotators read short crime articles and provided text-level ratings concerning the guilt of the main suspect as well as span-level annotations indicating which parts of the story they felt most influenced their ratings. SuspectGuilt thus provides a rich picture of how linguistic choices affect subjective guilt judgments.
A synthetic dataset for evaluating non-rigid 3D human reconstruction based on conventional RGB-D cameras. The dataset consist of seven motion sequences of a single human model.
This dataset is a large-scale synthetic dataset to simulate the attack scenario for a keystroke inference attack.
The SYSU-CEUS dataset consists of three types of Focal liver lesions (FLLs): 186 HCC instances, 109 HEM instances and 58 FNH instances (i.e.,186 malignant instances and 167 benign instances). This dataset is collected from the First Affiliated Hospital, Sun Yat-sen University. The equipment used was Aplio SSA-770A (Toshiba Medical System). All these instances with resolution 768*576 were taken from different patients, with large variations in appearance and enhancement patterns (e.g. sizes, contrasts, shapes and locations) of the FLLs.
TB-Places is a data set of garden images for testing algorithms for visual place recognition. It contains images with ground truth camera pose recorded in two real gardens at different times, with a total of four different recording sessions, with varying light conditions.
A dataset of 663 deidentified computed tomography (CT) scans acquired in routine clinical practice and with both segmentations taken from clinical practice and segmentations.
Extends the COCO-text [Veit et al. 2016] with information about the scene (such as objects and places appearing in the image) to enable researchers to include semantic relations between texts and scene in their Text Spotting systems, and to offer a common framework for such approaches.
TextWorld KG is a dynamic Knowledge Graph (KG) extraction dataset. It is based on a set of text-based games generated using. That framework allows to extract the underlying partial KG for every state, i.e., the subgraph that represents the agent’s partial knowledge of the world – what it has observed so far. All games share the same overarching theme: the agent finds itself hungry in a simple modern house with the goal of gathering ingredients and cooking a meal.
Texygen is a benchmarking platform to support research on open-domain text generation models. Texygen has not only implemented a majority of text generation models, but also covered a set of metrics that evaluate the diversity, the quality and the consistency of the generated texts. The Texygen platform could help standardize the research on text generation and facilitate the sharing of fine-tuned open-source implementations among researchers for their work. As a consequence, this would help in improving the reproductivity and reliability of future research work in text generation.
Photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems. The RobotriX consists of hyperrealistic indoor scenes which are explored by robot agents which also interact with objects in a visually realistic manner in that simulated world.
TikTok Comments is a domain specific lexicon based on TikTok comments dataset.
Includes considerable roll and pitch camera motion.
TinySocial is a dataset to enable research on Social Visual Question Answering.
Toulouse Vanishing Points Dataset is a public photographs database of Manhattan scenes taken with an iPad Air 1. The purpose of this dataset is the evaluation of vanishing points estimation algorithms. Its originality is the addition of Inertial Measurement Unit (IMU) data synchronized with the camera under the form of rotation matrices. Moreover, contrary to existing works which provide vanishing points of reference in the form of single points, there are computed uncertainty regions.