66 datasets found

The Stanford-40 Actions dataset contains 9532 images of 40 different action classes.

The dataset is used for gymnastics action recognition.

IXMAS action recognition dataset

Epic Kitchens dataset is a dataset for egocentric vision and action recognition.

Temporal action localization is an important task of computer vision. Though many methods have been proposed, it still remains an open question how to predict the temporal...

A dataset of synthetic data for action categorization, including simplified videos without background.

The dataset used in the paper is a collection of videos and corresponding referring expressions.

The ActivityNet1.2 dataset is a large-scale benchmark for action recognition and localization in videos.

EPIC-KITCHENS is a large-scale egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily activities: we...

The P-CNN dataset is used for action recognition tasks.

The EGTEA+ dataset contains 28 hours of videos with 106 action categories, with a focus on action recognition.

Feature shifts have been shown to be useful for action recognition with CNN-based models since Temporal Shift Module (TSM) was proposed. It is based on frame-wise feature...

THUMOS Challenge: Action Recognition with a Large Number of Classes.

Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations...

The dataset used in the paper is a video recognition benchmark, specifically Kinetics-400, Something-Something V2, Epic-Kitchens-100, HMDB51, and UCF101.

Temporal action proposal generation is an important task, akin to object proposals, temporal action proposals are intended to capture “clips” or temporal intervals in videos...

A curated dataset from scratch for this project to develop an AR model for specific Action Recognition task (Smart Baby Care).

A novel lightweight framework combining transfer learning techniques with a Conv2D LSTM layer to extract features from the pre-trained I3D model on the Kinetics dataset for a...

The HMDB51 dataset is a video dataset for human action recognition. It contains 6,767 videos annotated with 51 categories of human actions.

Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...